Group Project 4 COVID
covid_p11
2022-03-28
Topic: COVID-19 New cases visualisation dashboard: Shiny app
1 NEW FINAL JOIN CODE BY MAXIM
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# THIS IS THE FINAL JOIN #
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# use covid_joined for your work and filter it to country if you need #
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covid = read.csv("owid-covid-data.csv")
sp500 = read.csv("SPY Historical Data.csv", fileEncoding = 'UTF-8-BOM') # This is for US
TOPIX = read.csv("TOPIX Historical Data.csv", fileEncoding = 'UTF-8-BOM') # This is for Japan
ASX200 = read.csv("S&P_ASX 200 Historical Data.csv", fileEncoding = 'UTF-8-BOM') # This is for Australia
NSEI = read.csv("Nifty 50 Historical Data.csv", fileEncoding = 'UTF-8-BOM') # This is for India
SSEC = read.csv("Shanghai Composite Historical Data.csv", fileEncoding = 'UTF-8-BOM') # this is for China
covid2 <- covid
covid2$date = as.character(ymd(covid2$date))
sp500$Date <- as.character(mdy(sp500$Date))
TOPIX$Date <- as.character(mdy(TOPIX$Date))
ASX200$Date <- as.character(mdy(ASX200$Date))
NSEI$Date <- as.character(mdy(NSEI$Date))
SSEC$Date <- as.character(mdy(SSEC$Date))
colnames(covid2)[4] = "Date"
covid_US <- covid2 %>% filter(location == "United States")
covid_AUS <- covid2 %>% filter(location == "Australia")
covid_IND <- covid2 %>% filter(location == "India")
covid_JPN <- covid2 %>% filter(location == "Japan")
covid_CHN <- covid2 %>% filter(location == "China")
covid_US## iso_code continent location Date total_cases new_cases
## 1 USA North America United States 2020-01-22 1 NA
## 2 USA North America United States 2020-01-23 1 0
## 3 USA North America United States 2020-01-24 2 1
## 4 USA North America United States 2020-01-25 2 0
## 5 USA North America United States 2020-01-26 5 3
## 6 USA North America United States 2020-01-27 5 0
## 7 USA North America United States 2020-01-28 5 0
## 8 USA North America United States 2020-01-29 6 1
## 9 USA North America United States 2020-01-30 6 0
## 10 USA North America United States 2020-01-31 8 2
## 11 USA North America United States 2020-02-01 8 0
## 12 USA North America United States 2020-02-02 8 0
## 13 USA North America United States 2020-02-03 11 3
## 14 USA North America United States 2020-02-04 11 0
## 15 USA North America United States 2020-02-05 11 0
## 16 USA North America United States 2020-02-06 12 1
## 17 USA North America United States 2020-02-07 12 0
## 18 USA North America United States 2020-02-08 12 0
## 19 USA North America United States 2020-02-09 12 0
## 20 USA North America United States 2020-02-10 12 0
## 21 USA North America United States 2020-02-11 13 1
## 22 USA North America United States 2020-02-12 13 0
## 23 USA North America United States 2020-02-13 14 1
## 24 USA North America United States 2020-02-14 14 0
## 25 USA North America United States 2020-02-15 14 0
## 26 USA North America United States 2020-02-16 14 0
## 27 USA North America United States 2020-02-17 14 0
## 28 USA North America United States 2020-02-18 14 0
## 29 USA North America United States 2020-02-19 14 0
## 30 USA North America United States 2020-02-20 14 0
## 31 USA North America United States 2020-02-21 16 2
## 32 USA North America United States 2020-02-22 16 0
## 33 USA North America United States 2020-02-23 16 0
## 34 USA North America United States 2020-02-24 16 0
## 35 USA North America United States 2020-02-25 16 0
## 36 USA North America United States 2020-02-26 16 0
## 37 USA North America United States 2020-02-27 17 1
## 38 USA North America United States 2020-02-28 17 0
## 39 USA North America United States 2020-02-29 25 8
## 40 USA North America United States 2020-03-01 32 7
## 41 USA North America United States 2020-03-02 55 23
## 42 USA North America United States 2020-03-03 74 19
## 43 USA North America United States 2020-03-04 107 33
## 44 USA North America United States 2020-03-05 184 77
## 45 USA North America United States 2020-03-06 237 53
## 46 USA North America United States 2020-03-07 403 166
## 47 USA North America United States 2020-03-08 519 116
## 48 USA North America United States 2020-03-09 594 75
## 49 USA North America United States 2020-03-10 782 188
## 50 USA North America United States 2020-03-11 1147 365
## 51 USA North America United States 2020-03-12 1586 439
## 52 USA North America United States 2020-03-13 2219 633
## 53 USA North America United States 2020-03-14 2978 759
## 54 USA North America United States 2020-03-15 3212 234
## 55 USA North America United States 2020-03-16 4679 1467
## 56 USA North America United States 2020-03-17 6512 1833
## 57 USA North America United States 2020-03-18 9169 2657
## 58 USA North America United States 2020-03-19 13663 4494
## 59 USA North America United States 2020-03-20 20030 6367
## 60 USA North America United States 2020-03-21 26025 5995
## 61 USA North America United States 2020-03-22 34944 8919
## 62 USA North America United States 2020-03-23 46096 11152
## 63 USA North America United States 2020-03-24 56714 10618
## 64 USA North America United States 2020-03-25 68841 12127
## 65 USA North America United States 2020-03-26 86662 17821
## 66 USA North America United States 2020-03-27 105253 18591
## 67 USA North America United States 2020-03-28 127417 22164
## 68 USA North America United States 2020-03-29 143544 16127
## 69 USA North America United States 2020-03-30 165698 22154
## 70 USA North America United States 2020-03-31 192079 26381
## 71 USA North America United States 2020-04-01 223237 31158
## 72 USA North America United States 2020-04-02 255516 32279
## 73 USA North America United States 2020-04-03 287918 32402
## 74 USA North America United States 2020-04-04 319755 31837
## 75 USA North America United States 2020-04-05 348998 29243
## 76 USA North America United States 2020-04-06 380786 31788
## 77 USA North America United States 2020-04-07 410820 30034
## 78 USA North America United States 2020-04-08 441879 31059
## 79 USA North America United States 2020-04-09 477498 35619
## 80 USA North America United States 2020-04-10 511775 34277
## 81 USA North America United States 2020-04-11 540699 28924
## 82 USA North America United States 2020-04-12 566999 26300
## 83 USA North America United States 2020-04-13 594155 27156
## 84 USA North America United States 2020-04-14 622470 28315
## 85 USA North America United States 2020-04-15 648363 25893
## 86 USA North America United States 2020-04-16 677983 29620
## 87 USA North America United States 2020-04-17 711000 33017
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## 90 USA North America United States 2020-04-20 793953 30108
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## 102 USA North America United States 2020-05-02 1138137 26773
## 103 USA North America United States 2020-05-03 1161874 23737
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## 105 USA North America United States 2020-05-05 1209674 24004
## 106 USA North America United States 2020-05-06 1234164 24490
## 107 USA North America United States 2020-05-07 1261898 27734
## 108 USA North America United States 2020-05-08 1289095 27197
## 109 USA North America United States 2020-05-09 1313562 24467
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## 111 USA North America United States 2020-05-11 1351361 19052
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## 113 USA North America United States 2020-05-13 1394746 20024
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## 150 USA North America United States 2020-06-19 2219476 31062
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## 152 USA North America United States 2020-06-21 2277138 25848
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## 154 USA North America United States 2020-06-23 2345653 38696
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## 156 USA North America United States 2020-06-25 2421215 39301
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## 158 USA North America United States 2020-06-27 2511008 40756
## 159 USA North America United States 2020-06-28 2553924 42916
## 160 USA North America United States 2020-06-29 2595225 41301
## 161 USA North America United States 2020-06-30 2645046 49821
## 162 USA North America United States 2020-07-01 2694163 49117
## 163 USA North America United States 2020-07-02 2749086 54923
## 164 USA North America United States 2020-07-03 2800597 51511
## 165 USA North America United States 2020-07-04 2846563 45966
## 166 USA North America United States 2020-07-05 2900297 53734
## 167 USA North America United States 2020-07-06 2943445 43148
## 168 USA North America United States 2020-07-07 3000651 57206
## 169 USA North America United States 2020-07-08 3060932 60281
## 170 USA North America United States 2020-07-09 3120604 59672
## 171 USA North America United States 2020-07-10 3189458 68854
## 172 USA North America United States 2020-07-11 3249895 60437
## 173 USA North America United States 2020-07-12 3310016 60121
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## new_cases_smoothed total_deaths new_deaths new_deaths_smoothed
## 1 NA NA NA NA
## 2 NA NA NA NA
## 3 NA NA NA NA
## 4 NA NA NA NA
## 5 NA NA NA NA
## 6 NA NA NA NA
## 7 NA NA NA NA
## 8 0.714 NA NA NA
## 9 0.714 NA NA NA
## 10 0.857 NA NA NA
## 11 0.857 NA NA NA
## 12 0.429 NA NA NA
## 13 0.857 NA NA NA
## 14 0.857 NA NA NA
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## 537 20241.571 606730 122 237.571
## 538 23167.143 606959 229 252.429
## 539 23779.286 607319 360 260.857
## 540 25343.286 607647 328 261.571
## 541 26928.429 607976 329 273.857
## 542 31288.714 608431 455 272.714
## 543 31857.571 608508 77 271.429
## 544 33082.143 608595 87 266.429
## 545 35857.143 608786 191 261.000
## 546 37743.429 609074 288 250.714
## 547 40114.857 609435 361 255.429
## 548 43621.714 609723 288 249.571
## 549 49721.000 610280 557 264.143
## 550 51813.714 610406 126 271.143
## 551 52904.143 610504 98 272.714
## 552 57266.714 610765 261 282.714
## 553 60871.143 611207 442 304.714
## 554 64565.000 611584 377 307.000
## 555 66854.714 611904 320 311.571
## 556 76948.429 612785 881 357.857
## 557 79115.857 612953 168 363.857
## 558 81490.000 613178 225 382.000
## 559 85618.429 613521 343 393.714
## 560 90306.143 614097 576 412.857
## 561 94425.286 614635 538 435.857
## 562 99730.571 615153 518 464.143
## 563 108365.000 616286 1133 500.143
## 564 111097.000 616541 255 512.571
## 565 109709.286 616665 124 498.143
## 566 117056.857 617186 521 523.571
## 567 119914.000 618021 835 560.571
## 568 127351.000 618811 790 596.571
## 569 132259.286 619832 1021 668.429
## 570 128677.286 620881 1049 656.429
## 571 130113.571 621147 266 658.000
## 572 131821.286 621351 204 669.429
## 573 136748.429 622375 1024 741.286
## 574 141435.714 623399 1024 768.286
## 575 143312.857 624598 1199 826.714
## 576 144902.714 626375 1777 934.714
## 577 146664.857 627834 1459 993.286
## 578 149402.714 628398 564 1035.857
## 579 149031.000 628602 204 1035.857
## 580 151000.000 629933 1331 1079.714
## 581 151556.286 631347 1414 1135.429
## 582 153178.714 632886 1539 1184.000
## 583 157273.571 635079 2193 1243.429
## 584 157193.714 636811 1732 1282.429
## 585 155307.286 637460 649 1294.571
## 586 156425.000 637770 310 1309.714
## 587 159406.857 639476 1706 1363.286
## 588 163049.857 640896 1420 1364.143
## 589 164688.857 642934 2038 1435.429
## 590 164028.571 645927 2993 1549.714
## 591 163572.714 647864 1937 1579.000
## 592 164589.714 648513 649 1579.000
## 593 166229.714 648918 405 1592.571
## 594 146912.000 649542 624 1438.000
## 595 151026.857 651614 2072 1531.143
## 596 149097.286 653884 2270 1564.286
## 597 147267.429 657104 3220 1596.714
## 598 148230.143 659580 2476 1673.714
## 599 148689.429 660402 822 1698.429
## 600 146525.857 660772 370 1693.429
## 601 163237.571 662939 2167 1913.857
## 602 154099.000 664828 1889 1887.714
## 603 153623.571 667567 2739 1954.714
## 604 152545.143 671019 3452 1987.857
## 605 148075.286 673468 2449 1984.000
## 606 146053.286 674447 979 2006.429
## 607 145549.286 674835 388 2009.000
## 608 139949.143 677143 2308 2029.143
## 609 136646.857 679591 2448 2109.000
## 610 130611.571 682274 2683 2101.000
## 611 126368.286 685562 3288 2077.571
## 612 121211.286 688035 2473 2081.000
## 613 119153.429 688859 824 2058.857
## 614 120515.286 689427 568 2084.571
## 615 118214.714 691706 2279 2080.429
## 616 116941.714 694209 2503 2088.286
## 617 115524.857 696827 2618 2079.000
## 618 112859.286 699632 2805 2010.000
## 619 110003.000 701768 2136 1961.857
## 620 108259.571 702591 823 1961.714
## 621 106886.143 703127 536 1957.143
## 622 105037.000 705050 1923 1906.286
## 623 102532.143 706917 1867 1815.429
## 624 101222.571 709569 2652 1820.286
## 625 99942.286 712038 2469 1772.286
## 626 96627.857 713839 1801 1724.429
## 627 95264.143 714266 427 1667.857
## 628 94541.857 714743 477 1659.429
## 629 87861.571 715924 1181 1553.429
## 630 90059.857 718214 2290 1613.857
## 631 89518.286 721429 3215 1694.286
## 632 87441.714 723596 2167 1651.143
## 633 84290.857 725392 1796 1650.429
## 634 84431.000 725938 546 1667.429
## 635 83281.714 726399 461 1665.143
## 636 83686.429 728172 1773 1749.714
## 637 79599.000 730305 2133 1727.286
## 638 77192.857 733479 3174 1721.429
## 639 75911.857 735471 1992 1696.429
## 640 73988.429 737329 1858 1705.286
## 641 72922.714 737870 541 1704.571
## 642 71135.143 738124 254 1675.000
## 643 73088.286 739599 1475 1632.429
## 644 70902.143 741183 1584 1554.000
## 645 72457.286 743237 2054 1394.000
## 646 72056.857 745081 1844 1372.857
## 647 71922.429 746807 1726 1354.000
## 648 72191.429 747179 372 1329.857
## 649 74093.429 747412 233 1326.857
## 650 74189.571 748694 1282 1299.286
## 651 74475.143 749963 1269 1254.286
## 652 72062.571 751922 1959 1240.714
## 653 72954.571 753128 1206 1149.571
## 654 73200.714 755260 2132 1207.571
## 655 73309.000 755723 463 1220.571
## 656 73936.571 755922 199 1215.714
## 657 73560.857 757182 1260 1212.571
## 658 74954.286 758605 1423 1234.571
## 659 76303.714 760288 1683 1195.143
## 660 72931.143 761160 872 1147.429
## 661 79585.000 763621 2461 1194.429
## 662 80867.571 764181 560 1208.286
## 663 80163.143 764375 194 1207.571
## 664 83496.000 765689 1314 1215.286
## 665 84769.429 767021 1332 1202.286
## 666 87302.143 768665 1644 1196.714
## 667 94750.571 770018 1353 1265.429
## 668 92385.143 771811 1793 1170.000
## 669 92584.429 772262 451 1154.429
## 670 93710.857 772477 215 1157.429
## 671 95241.857 773738 1261 1149.857
## 672 95822.571 775112 1374 1155.857
## 673 95619.857 776825 1713 1165.714
## 674 85598.571 777296 471 1039.714
## 675 75080.429 777667 371 836.571
## 676 72375.000 777979 312 816.714
## 677 72859.286 778224 245 821.000
## 678 78777.714 780159 1935 917.286
## 679 82460.286 781798 1639 955.143
## 680 86145.286 783855 2057 1004.286
## 681 100296.571 787765 3910 1495.571
## 682 115363.714 789340 1575 1667.571
## 683 121068.000 790010 670 1718.714
## 684 122786.714 790397 387 1739.000
## 685 121593.429 791821 1424 1666.000
## 686 121036.857 793387 1566 1655.571
## 687 122865.286 795203 1816 1621.143
## 688 120813.000 796768 1565 1286.143
## 689 120738.429 798568 1800 1318.286
## 690 119339.000 799168 600 1308.286
## 691 118924.857 799519 351 1303.143
## 692 120044.429 800931 1412 1301.429
## 693 120299.000 802486 1555 1299.857
## 694 119394.000 804734 2248 1361.571
## 695 121860.714 806018 1284 1321.429
## 696 126795.143 807872 1854 1329.143
## 697 130071.857 808515 643 1335.286
## 698 135361.143 808811 296 1327.429
## 699 143164.857 810403 1592 1353.143
## 700 152350.429 812350 1947 1409.143
## 701 166644.286 816546 4196 1687.429
## 702 184920.429 817934 1388 1702.286
## 703 192924.571 818625 691 1536.143
## 704 193921.571 818854 229 1477.000
## 705 206629.143 819201 347 1484.286
## 706 243848.429 820992 1791 1512.714
## 707 269897.429 823308 2316 1565.429
## 708 306789.286 825663 2355 1302.429
## 709 352625.286 827157 1494 1317.571
## 710 390509.143 827869 712 1320.571
## 711 405115.714 828257 388 1343.286
## 712 420449.571 828635 378 1347.714
## 713 498123.143 830478 1843 1355.143
## 714 562415.857 832788 2310 1354.286
## 715 585357.714 834969 2181 1329.429
## 716 620236.143 837002 2033 1406.429
## 717 671063.857 839398 2396 1647.000
## 718 700897.286 840205 807 1706.857
## 719 729400.857 840788 583 1736.143
## 720 777709.857 842825 2037 1763.857
## 721 774074.286 845303 2478 1787.857
## 722 800683.429 848103 2800 1876.286
## 723 804535.000 850604 2501 1943.143
## 724 805972.429 853335 2731 1991.000
## 725 807617.286 854302 967 2013.857
## 726 806869.571 855038 736 2035.714
## 727 705526.000 856054 1016 1889.857
## 728 754513.714 858748 2694 1920.714
## 729 762987.143 862186 3438 2011.857
## 730 744560.286 865052 2866 2064.000
## 731 739043.429 868416 3364 2154.429
## 732 723979.857 869376 960 2153.429
## 733 707598.857 870077 701 2148.429
## 734 742869.000 872270 2193 2316.571
## 735 652141.000 875441 3171 2384.714
## 736 611579.286 879252 3811 2438.000
## 737 579228.429 881789 2537 2391.000
## 738 546843.000 885880 4091 2494.857
## 739 529062.714 887036 1156 2522.857
## 740 505199.429 887489 453 2487.429
## 741 451093.857 890151 2662 2554.429
## 742 427057.571 893483 3332 2577.429
## 743 384945.000 897050 3567 2542.571
## 744 351919.571 899466 2416 2525.286
## 745 314899.571 903578 4112 2528.286
## 746 301668.000 904445 867 2487.000
## 747 285293.429 904891 446 2486.000
## 748 257425.714 907980 3089 2547.000
## 749 241497.143 910969 2989 2498.000
## 750 221380.714 914399 3430 2478.429
## 751 206574.857 917632 3233 2595.143
## 752 185742.000 920317 2685 2391.286
## 753 180782.286 921115 798 2381.429
## 754 177178.857 921666 551 2396.429
## 755 152048.571 924851 3185 2410.143
## 756 137304.286 927453 2602 2354.857
## 757 126776.714 930631 3178 2318.857
## 758 116831.286 933530 2899 2271.143
## 759 107652.857 936011 2481 2242.000
## 760 104713.857 936655 644 2220.000
## 761 99668.286 937078 423 2201.714
## 762 87226.286 937975 897 1874.857
## 763 84102.286 940152 2177 1814.143
## 764 79845.571 943249 3097 1802.571
## 765 74878.857 946207 2958 1811.000
## 766 64781.857 948245 2038 1747.714
## 767 67058.000 948963 718 1758.286
## 768 66376.143 949170 207 1727.429
## 769 68663.857 951335 2165 1908.571
## 770 62564.000 953099 1764 1849.571
## 771 58038.143 955175 2076 1703.714
## 772 55409.000 956862 1687 1522.143
## 773 52084.286 958570 1708 1475.000
## 774 47440.000 958846 276 1411.857
## 775 46404.429 959008 162 1405.429
## 776 41349.857 960697 1689 1337.429
## 777 38934.286 962036 1339 1276.714
## 778 36641.429 964012 1976 1262.429
## 779 36330.429 965657 1645 1256.429
## 780 36104.714 967121 1464 1221.571
## 781 35464.143 967547 426 1243.000
## 782 35433.143 967715 168 1243.857
## 783 31336.714 965100 NA NA
## 784 30735.000 966381 1281 NA
## 785 31827.143 968324 1943 NA
## 786 32742.000 970009 1685 NA
## 787 30427.429 970806 797 NA
## 788 30492.429 971087 281 NA
## 789 29892.000 971162 75 NA
## 790 31449.143 972658 1496 1079.714
## 791 31086.429 973213 555 976.000
## 792 30511.000 974830 1617 929.429
## 793 29261.000 975863 1033 836.286
## 794 31361.429 976505 642 814.143
## 795 31133.143 976652 147 795.000
## total_cases_per_million new_cases_per_million
## 1 0.003 NA
## 2 0.003 0.000
## 3 0.006 0.003
## 4 0.006 0.000
## 5 0.015 0.009
## 6 0.015 0.000
## 7 0.015 0.000
## 8 0.018 0.003
## 9 0.018 0.000
## 10 0.024 0.006
## 11 0.024 0.000
## 12 0.024 0.000
## 13 0.033 0.009
## 14 0.033 0.000
## 15 0.033 0.000
## 16 0.036 0.003
## 17 0.036 0.000
## 18 0.036 0.000
## 19 0.036 0.000
## 20 0.036 0.000
## 21 0.039 0.003
## 22 0.039 0.000
## 23 0.042 0.003
## 24 0.042 0.000
## 25 0.042 0.000
## 26 0.042 0.000
## 27 0.042 0.000
## 28 0.042 0.000
## 29 0.042 0.000
## 30 0.042 0.000
## 31 0.048 0.006
## 32 0.048 0.000
## 33 0.048 0.000
## 34 0.048 0.000
## 35 0.048 0.000
## 36 0.048 0.000
## 37 0.051 0.003
## 38 0.051 0.000
## 39 0.075 0.024
## 40 0.096 0.021
## 41 0.165 0.069
## 42 0.222 0.057
## 43 0.321 0.099
## 44 0.553 0.231
## 45 0.712 0.159
## 46 1.211 0.499
## 47 1.559 0.348
## 48 1.784 0.225
## 49 2.349 0.565
## 50 3.445 1.096
## 51 4.764 1.319
## 52 6.665 1.901
## 53 8.945 2.280
## 54 9.648 0.703
## 55 14.055 4.407
## 56 19.561 5.506
## 57 27.542 7.981
## 58 41.040 13.499
## 59 60.165 19.125
## 60 78.173 18.008
## 61 104.964 26.791
## 62 138.462 33.498
## 63 170.356 31.894
## 64 206.782 36.427
## 65 260.313 53.530
## 66 316.156 55.843
## 67 382.731 66.576
## 68 431.173 48.442
## 69 497.719 66.545
## 70 576.961 79.242
## 71 670.552 93.591
## 72 767.511 96.959
## 73 864.839 97.328
## 74 960.470 95.631
## 75 1048.309 87.839
## 76 1143.793 95.484
## 77 1234.008 90.215
## 78 1327.302 93.294
## 79 1434.294 106.991
## 80 1537.254 102.960
## 81 1624.135 86.881
## 82 1703.134 78.999
## 83 1784.704 81.570
## 84 1869.756 85.052
## 85 1947.533 77.777
## 86 2036.504 88.972
## 87 2135.680 99.175
## 88 2218.007 82.327
## 89 2294.414 76.407
## 90 2384.851 90.437
## 91 2463.127 78.275
## 92 2552.891 89.765
## 93 2648.883 95.991
## 94 2744.847 95.964
## 95 2837.679 92.831
## 96 2915.657 77.978
## 97 2989.775 74.118
## 98 3063.610 73.836
## 99 3144.291 80.681
## 100 3233.491 89.200
## 101 3338.281 104.789
## 102 3418.701 80.420
## 103 3490.001 71.300
## 104 3561.479 71.478
## 105 3633.581 72.102
## 106 3707.144 73.562
## 107 3790.450 83.307
## 108 3872.144 81.694
## 109 3945.637 73.493
## 110 4001.949 56.312
## 111 4059.176 57.228
## 112 4129.347 70.171
## 113 4189.495 60.147
## 114 4267.305 77.810
## 115 4341.837 74.533
## 116 4414.186 72.349
## 117 4470.506 56.321
## 118 4537.427 66.921
## 119 4598.957 61.529
## 120 4667.527 68.570
## 121 4743.270 75.743
## 122 4814.958 71.688
## 123 4875.583 60.625
## 124 4936.220 60.637
## 125 4993.562 57.342
## 126 5049.654 56.092
## 127 5105.942 56.288
## 128 5169.829 63.887
## 129 5245.185 75.356
## 130 5314.545 69.360
## 131 5371.301 56.756
## 132 5424.969 53.668
## 133 5485.279 60.310
## 134 5542.837 57.558
## 135 5626.705 83.868
## 136 5706.026 79.321
## 137 5766.990 60.964
## 138 5820.614 53.623
## 139 5871.365 50.752
## 140 5932.348 60.983
## 141 5997.590 65.242
## 142 6064.517 66.927
## 143 6141.269 76.752
## 144 6213.891 72.622
## 145 6270.665 56.774
## 146 6333.735 63.070
## 147 6407.427 73.691
## 148 6488.718 81.291
## 149 6573.490 84.772
## 150 6666.793 93.303
## 151 6762.355 95.562
## 152 6839.997 77.641
## 153 6929.566 89.569
## 154 7045.800 116.234
## 155 7154.720 108.920
## 156 7272.771 118.051
## 157 7420.067 147.296
## 158 7542.488 122.422
## 159 7671.398 128.910
## 160 7795.457 124.059
## 161 7945.107 149.651
## 162 8092.643 147.536
## 163 8257.619 164.976
## 164 8412.347 154.727
## 165 8550.418 138.071
## 166 8711.822 161.405
## 167 8841.429 129.607
## 168 9013.263 171.834
## 169 9194.333 181.070
## 170 9373.574 179.241
## 171 9580.395 206.822
## 172 9761.934 181.539
## 173 9942.524 180.590
## 174 10121.005 178.481
## 175 10318.181 197.176
## 176 10516.421 198.240
## 177 10729.073 212.652
## 178 10928.766 199.694
## 179 11121.984 193.217
## 180 11299.020 177.036
## 181 11481.319 182.299
## 182 11685.926 204.608
## 183 11888.927 203.001
## 184 12092.862 203.935
## 185 12318.586 225.724
## 186 12511.377 192.791
## 187 12679.198 167.821
## 188 12858.475 179.277
## 189 13053.407 194.933
## 190 13246.075 192.668
## 191 13453.789 207.714
## 192 13647.868 194.080
## 193 13821.056 173.188
## 194 13962.354 141.297
## 195 14087.497 125.143
## 196 14272.781 185.284
## 197 14436.039 163.258
## 198 14616.719 180.680
## 199 14798.621 181.902
## 200 14990.931 192.310
## 201 15153.853 162.921
## 202 15308.742 154.889
## 203 15480.080 171.338
## 204 15645.678 165.598
## 205 15800.988 155.310
## 206 16011.714 210.726
## 207 16169.037 157.322
## 208 16273.406 104.369
## 209 16386.885 113.479
## 210 16521.607 134.722
## 211 16659.168 137.561
## 212 16794.860 135.692
## 213 16937.740 142.880
## 214 17075.313 137.573
## 215 17171.214 95.901
## 216 17272.784 101.569
## 217 17400.948 128.165
## 218 17527.050 126.101
## 219 17678.872 151.823
## 220 17818.274 139.402
## 221 17948.199 129.925
## 222 18051.033 102.834
## 223 18151.010 99.977
## 224 18276.862 125.852
## 225 18396.620 119.757
## 226 18532.282 135.662
## 227 18677.439 145.157
## 228 18808.668 131.229
## 229 18896.519 87.851
## 230 18970.589 74.070
## 231 19050.429 79.840
## 232 19151.190 100.761
## 233 19269.960 118.769
## 234 19403.324 133.364
## 235 19540.362 137.038
## 236 19661.912 121.551
## 237 19759.817 97.905
## 238 19871.395 111.578
## 239 19986.046 114.651
## 240 20121.825 135.779
## 241 20272.966 151.141
## 242 20410.545 137.579
## 243 20535.733 125.188
## 244 20632.055 96.322
## 245 20746.393 114.338
## 246 20869.926 123.533
## 247 21016.880 146.953
## 248 21158.276 141.396
## 249 21289.550 131.274
## 250 21391.275 101.726
## 251 21504.157 112.882
## 252 21630.336 126.179
## 253 21746.615 116.279
## 254 21885.242 138.627
## 255 22045.887 160.645
## 256 22194.003 148.116
## 257 22293.848 99.845
## 258 22405.495 111.647
## 259 22539.340 133.845
## 260 22686.852 147.512
## 261 22860.398 173.546
## 262 23026.020 165.622
## 263 23192.194 166.175
## 264 23333.569 141.375
## 265 23459.917 126.348
## 266 23610.015 150.098
## 267 23785.586 175.570
## 268 23975.916 190.331
## 269 24186.991 211.075
## 270 24351.796 164.805
## 271 24508.698 156.902
## 272 24711.428 202.730
## 273 24898.410 186.982
## 274 25079.126 180.716
## 275 25318.268 239.142
## 276 25563.330 245.062
## 277 25799.015 235.685
## 278 25983.119 184.104
## 279 26175.922 192.803
## 280 26408.104 232.182
## 281 26666.513 258.408
## 282 26940.288 273.776
## 283 27239.899 299.611
## 284 27503.107 263.208
## 285 27737.368 234.261
## 286 27982.386 245.017
## 287 28357.160 374.774
## 288 28656.981 299.821
## 289 29040.905 383.924
## 290 29422.921 382.016
## 291 29806.058 383.137
## 292 30165.384 359.326
## 293 30517.320 351.937
## 294 30926.899 409.579
## 295 31368.108 441.209
## 296 31846.041 477.933
## 297 32382.619 536.578
## 298 32879.364 496.745
## 299 33298.573 419.209
## 300 33758.354 459.781
## 301 34252.162 493.808
## 302 34768.173 516.011
## 303 35345.726 577.553
## 304 35951.058 605.332
## 305 36492.268 541.210
## 306 36933.939 441.671
## 307 37478.117 544.178
## 308 37998.964 520.848
## 309 38540.535 541.571
## 310 38893.406 352.871
## 311 39538.153 644.747
## 312 40043.459 505.306
## 313 40465.443 421.984
## 314 40931.184 465.740
## 315 41522.875 591.691
## 316 42110.499 587.624
## 317 42772.317 661.817
## 318 43480.068 707.751
## 319 44147.160 667.092
## 320 44686.126 538.966
## 321 45272.597 586.471
## 322 45953.236 680.639
## 323 46608.848 655.612
## 324 47320.762 711.914
## 325 48038.819 718.057
## 326 48713.598 674.779
## 327 49289.384 575.786
## 328 49919.314 629.929
## 329 50599.247 679.933
## 330 51304.373 705.126
## 331 52025.704 721.331
## 332 52771.311 745.608
## 333 53389.640 618.329
## 334 53952.471 562.831
## 335 54543.075 590.604
## 336 55161.903 618.827
## 337 55827.199 665.296
## 338 56466.713 639.514
## 339 56849.186 382.473
## 340 57502.431 653.245
## 341 57910.871 408.441
## 342 58430.863 519.991
## 343 59049.369 618.506
## 344 59705.335 655.966
## 345 60651.874 946.539
## 346 61189.698 537.825
## 347 62007.421 817.722
## 348 62618.273 610.852
## 349 63175.403 557.130
## 350 63874.732 699.329
## 351 64655.033 780.301
## 352 65515.045 860.012
## 353 66428.728 913.683
## 354 67224.093 795.365
## 355 67857.567 633.474
## 356 68469.861 612.294
## 357 69135.905 666.044
## 358 69824.600 688.695
## 359 70532.264 707.664
## 360 71268.476 736.212
## 361 71922.249 653.773
## 362 72452.808 530.559
## 363 72875.607 422.799
## 364 73346.787 471.180
## 365 73909.726 562.939
## 366 74488.069 578.343
## 367 75064.222 576.153
## 368 75599.641 535.419
## 369 76020.745 421.104
## 370 76409.826 389.081
## 371 76863.341 453.515
## 372 77330.322 466.981
## 373 77831.219 500.897
## 374 78323.212 491.993
## 375 78776.724 453.512
## 376 79115.808 339.083
## 377 79491.994 376.186
## 378 79843.459 351.465
## 379 80216.981 373.522
## 380 80592.560 375.579
## 381 80986.303 393.743
## 382 81337.221 350.918
## 383 81605.902 268.681
## 384 81854.428 248.526
## 385 82140.474 286.046
## 386 82426.391 285.917
## 387 82747.184 320.794
## 388 83049.385 302.200
## 389 83322.136 272.751
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## 391 83693.594 166.286
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## 394 84296.369 218.068
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## 398 85076.427 166.451
## 399 85298.255 221.828
## 400 85523.694 225.439
## 401 85755.829 232.134
## 402 85982.439 226.610
## 403 86196.677 214.238
## 404 86352.116 155.439
## 405 86503.458 151.342
## 406 86678.923 175.465
## 407 86880.320 201.397
## 408 87087.492 207.173
## 409 87291.439 203.947
## 410 87474.895 183.455
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## 412 87732.140 132.241
## 413 87898.838 166.697
## 414 88072.353 173.516
## 415 88257.926 185.573
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## 417 88616.907 170.860
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## 419 88887.841 152.928
## 420 89050.299 162.459
## 421 89228.402 178.102
## 422 89415.819 187.417
## 423 89601.019 185.200
## 424 89777.965 176.946
## 425 89884.230 106.264
## 426 90026.338 142.108
## 427 90185.183 158.845
## 428 90448.596 263.413
## 429 90651.789 203.193
## 430 90881.262 229.473
## 431 91073.978 192.716
## 432 91213.088 139.111
## 433 91410.385 197.297
## 434 91595.780 185.396
## 435 91804.656 208.876
## 436 92035.658 231.002
## 437 92258.141 222.483
## 438 92453.212 195.071
## 439 92567.082 113.870
## 440 92768.061 200.979
## 441 92956.980 188.919
## 442 93184.579 227.599
## 443 93425.307 240.728
## 444 93679.621 254.314
## 445 93891.985 212.363
## 446 94034.474 142.490
## 447 94220.768 186.294
## 448 94463.767 242.999
## 449 94690.900 227.133
## 450 94913.077 222.177
## 451 95163.943 250.866
## 452 95330.865 166.922
## 453 95462.535 131.670
## 454 95637.835 175.300
## 455 95825.577 187.742
## 456 96018.893 193.317
## 457 96219.350 200.457
## 458 96408.383 189.033
## 459 96573.714 165.330
## 460 96677.935 104.222
## 461 96804.733 126.798
## 462 96961.906 157.172
## 463 97127.708 165.802
## 464 97304.323 176.616
## 465 97478.881 174.558
## 466 97625.685 146.803
## 467 97717.507 91.822
## 468 97851.256 133.749
## 469 97980.042 128.787
## 470 98118.444 138.402
## 471 98257.209 138.765
## 472 98402.706 145.497
## 473 98509.985 107.280
## 474 98578.675 68.690
## 475 98675.685 97.010
## 476 98782.298 106.613
## 477 98890.872 108.574
## 478 99007.292 116.420
## 479 99134.135 126.843
## 480 99226.633 92.498
## 481 99279.824 53.191
## 482 99355.447 75.623
## 483 99442.262 86.815
## 484 99531.327 89.065
## 485 99622.119 90.792
## 486 99708.705 86.587
## 487 99772.550 63.845
## 488 99813.945 41.395
## 489 99879.500 65.554
## 490 99953.401 73.902
## 491 100027.357 73.956
## 492 100107.963 80.606
## 493 100174.785 66.822
## 494 100214.846 40.061
## 495 100236.972 22.126
## 496 100255.794 18.822
## 497 100318.236 62.442
## 498 100368.522 50.286
## 499 100423.780 55.257
## 500 100477.520 53.740
## 501 100524.412 46.892
## 502 100542.501 18.089
## 503 100584.694 42.194
## 504 100623.840 39.145
## 505 100679.581 55.741
## 506 100724.033 44.453
## 507 100799.569 75.536
## 508 100827.180 27.611
## 509 100843.007 15.827
## 510 100878.337 35.330
## 511 100910.603 32.266
## 512 100946.342 35.739
## 513 100981.685 35.342
## 514 101045.331 63.647
## 515 101072.543 27.211
## 516 101087.333 14.791
## 517 101118.960 31.627
## 518 101151.425 32.465
## 519 101189.470 38.046
## 520 101232.929 43.459
## 521 101306.837 73.908
## 522 101335.003 28.166
## 523 101348.889 13.886
## 524 101389.774 40.884
## 525 101412.197 22.423
## 526 101458.353 46.156
## 527 101503.779 45.426
## 528 101593.174 89.395
## 529 101609.445 16.271
## 530 101622.295 12.850
## 531 101649.047 26.752
## 532 101715.911 66.864
## 533 101776.512 60.601
## 534 101839.225 62.713
## 535 101982.153 142.928
## 536 102012.599 30.446
## 537 102047.902 35.303
## 538 102136.168 88.266
## 539 102215.903 79.735
## 540 102309.390 93.486
## 541 102405.432 96.043
## 542 102640.041 234.609
## 543 102682.449 42.407
## 544 102743.500 61.052
## 545 102890.114 146.614
## 546 103009.511 119.397
## 547 103152.860 143.349
## 548 103322.639 169.779
## 549 103685.494 362.855
## 550 103771.904 86.409
## 551 103855.883 83.979
## 552 104094.226 238.343
## 553 104289.411 195.185
## 554 104510.428 221.017
## 555 104728.352 217.923
## 556 105303.441 575.090
## 557 105435.424 131.983
## 558 105569.323 133.899
## 559 105894.472 325.149
## 560 106188.223 293.751
## 561 106495.851 307.628
## 562 106825.325 329.474
## 563 107581.965 756.640
## 564 107771.392 189.427
## 565 107876.113 104.720
## 566 108355.754 479.642
## 567 108709.580 353.826
## 568 109173.582 464.001
## 569 109606.260 432.678
## 570 110287.583 681.324
## 571 110507.210 219.627
## 572 110647.837 140.627
## 573 111231.079 583.242
## 574 111683.462 452.383
## 575 112186.933 503.471
## 576 112653.040 466.107
## 577 113371.415 718.375
## 578 113648.609 277.194
## 579 113781.420 132.812
## 580 114406.063 624.643
## 581 114870.143 464.079
## 582 115407.727 537.585
## 583 115959.934 552.207
## 584 116676.630 716.696
## 585 116914.159 237.529
## 586 117070.472 156.313
## 587 117757.813 687.340
## 588 118298.491 540.678
## 589 118870.538 572.047
## 590 119408.862 538.323
## 591 120115.973 707.111
## 592 120374.886 258.913
## 593 120565.682 190.796
## 594 120846.841 281.159
## 595 121474.040 627.199
## 596 122005.515 531.475
## 597 122505.363 499.848
## 598 123232.717 727.354
## 599 123501.287 268.570
## 600 123646.591 145.304
## 601 124279.137 632.546
## 602 124714.185 435.048
## 603 125235.663 521.478
## 604 125712.836 477.173
## 605 126346.204 633.369
## 606 126572.259 226.055
## 607 126706.966 134.707
## 608 127221.761 514.795
## 609 127587.374 365.613
## 610 127981.952 394.578
## 611 128369.904 387.952
## 612 128894.839 524.936
## 613 129077.625 182.785
## 614 129240.967 163.342
## 615 129707.389 466.422
## 616 130046.235 338.846
## 617 130411.022 364.787
## 618 130742.926 331.904
## 619 131207.805 464.878
## 620 131353.932 146.127
## 621 131488.396 134.464
## 622 131915.937 427.541
## 623 132202.115 286.178
## 624 132539.366 337.251
## 625 132844.351 304.985
## 626 133239.539 395.188
## 627 133356.992 117.453
## 628 133476.269 119.277
## 629 133763.348 287.079
## 630 134095.748 332.400
## 631 134421.612 325.864
## 632 134682.934 261.322
## 633 135011.871 328.937
## 634 135132.271 120.400
## 635 135227.382 95.111
## 636 135522.971 295.589
## 637 135769.427 246.456
## 638 136044.699 275.271
## 639 136279.086 234.387
## 640 136567.580 288.494
## 641 136665.572 97.992
## 642 136723.097 57.525
## 643 137059.754 336.656
## 644 137260.243 200.490
## 645 137568.214 307.970
## 646 137794.181 225.968
## 647 138079.849 285.667
## 648 138183.497 103.648
## 649 138281.014 97.517
## 650 138619.692 338.678
## 651 138826.186 206.494
## 652 139083.429 257.243
## 653 139328.152 244.723
## 654 139618.995 290.843
## 655 139724.920 105.925
## 656 139835.633 110.713
## 657 140166.411 330.778
## 658 140402.204 235.793
## 659 140687.820 285.616
## 660 140861.630 173.810
## 661 141292.380 430.749
## 662 141425.272 132.893
## 663 141521.174 95.901
## 664 141922.030 400.856
## 665 142184.598 262.568
## 666 142523.468 338.870
## 667 142853.892 330.424
## 668 143234.905 381.013
## 669 143371.988 137.083
## 670 143491.574 119.586
## 671 143924.621 433.047
## 672 144199.400 274.779
## 673 144534.008 334.608
## 674 144653.720 119.712
## 675 144813.575 159.855
## 676 144893.773 80.198
## 677 145023.541 129.769
## 678 145581.032 557.491
## 679 145933.242 352.210
## 680 146345.332 412.090
## 681 146762.594 417.263
## 682 147239.257 476.662
## 683 147439.395 200.138
## 684 147605.302 165.907
## 685 148137.702 532.400
## 686 148478.209 340.507
## 687 148928.745 450.535
## 688 149302.855 374.110
## 689 149777.949 475.094
## 690 149948.662 170.713
## 691 150105.862 157.199
## 692 150661.802 555.941
## 693 151007.662 345.860
## 694 151439.169 431.506
## 695 151865.145 425.977
## 696 152443.992 578.847
## 697 152683.603 239.611
## 698 152952.017 268.414
## 699 153672.041 720.024
## 700 154211.041 538.999
## 701 154943.095 732.055
## 702 155753.353 810.258
## 703 156500.498 747.146
## 704 156761.072 260.574
## 705 157296.680 535.608
## 706 158799.292 1502.611
## 707 159886.007 1086.716
## 708 161393.764 1507.757
## 709 163167.787 1774.023
## 710 164711.493 1543.706
## 711 165279.191 567.697
## 712 166137.214 858.024
## 713 169273.020 3135.806
## 714 171711.579 2438.559
## 715 173701.720 1990.141
## 716 176209.110 2507.390
## 717 178821.539 2612.429
## 718 180016.526 1194.986
## 719 181473.876 1457.351
## 720 185625.446 4151.569
## 721 187987.562 2362.116
## 722 190537.197 2549.635
## 723 193125.572 2588.375
## 724 195768.225 2642.653
## 725 196997.797 1229.572
## 726 198439.425 1441.629
## 727 200460.106 2020.681
## 728 203852.256 3392.150
## 729 206580.057 2727.801
## 730 208780.982 2200.925
## 731 211307.635 2526.653
## 732 212220.475 912.839
## 733 213317.670 1097.196
## 734 216079.954 2762.284
## 735 217564.423 1484.469
## 736 219439.358 1874.935
## 737 220960.061 1520.703
## 738 222805.766 1845.705
## 739 223344.750 538.984
## 740 223940.187 595.437
## 741 225564.827 1624.640
## 742 226543.899 979.073
## 743 227533.359 989.460
## 744 228359.657 826.298
## 745 229426.965 1067.308
## 746 229687.737 260.772
## 747 229938.876 251.139
## 748 230977.559 1038.682
## 749 231621.711 644.152
## 750 232188.195 566.484
## 751 232703.179 514.984
## 752 233332.447 629.269
## 753 233488.935 156.487
## 754 233664.307 175.372
## 755 234174.590 510.283
## 756 234508.723 334.133
## 757 234853.850 345.127
## 758 235159.718 305.868
## 759 235595.998 436.279
## 760 235690.688 94.691
## 761 235759.970 69.282
## 762 236008.643 248.673
## 763 236277.090 268.447
## 764 236532.714 255.624
## 765 236734.150 201.436
## 766 236958.126 223.976
## 767 237100.676 142.550
## 768 237155.621 54.945
## 769 237452.396 296.775
## 770 237592.585 140.189
## 771 237753.046 160.461
## 772 237899.201 146.154
## 773 238053.270 154.069
## 774 238098.167 44.897
## 775 238131.338 33.171
## 776 238321.834 190.496
## 777 238411.232 89.398
## 778 238523.483 112.251
## 779 238663.098 139.615
## 780 238812.422 149.323
## 781 238843.850 31.428
## 782 238876.369 32.519
## 783 238980.732 104.363
## 784 239057.478 76.746
## 785 239192.693 135.215
## 786 239351.544 158.851
## 787 239452.200 100.656
## 788 239484.996 32.795
## 789 239504.889 19.894
## 790 239641.994 137.104
## 791 239711.113 69.120
## 792 239834.229 123.115
## 793 239966.797 132.568
## 794 240111.618 144.821
## 795 240139.613 27.995
## new_cases_smoothed_per_million total_deaths_per_million
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA NA
## 7 NA NA
## 8 0.002 NA
## 9 0.002 NA
## 10 0.003 NA
## 11 0.003 NA
## 12 0.001 NA
## 13 0.003 NA
## 14 0.003 NA
## 15 0.002 NA
## 16 0.003 NA
## 17 0.002 NA
## 18 0.002 NA
## 19 0.002 NA
## 20 0.000 NA
## 21 0.001 NA
## 22 0.001 NA
## 23 0.001 NA
## 24 0.001 NA
## 25 0.001 NA
## 26 0.001 NA
## 27 0.001 NA
## 28 0.000 NA
## 29 0.000 NA
## 30 0.000 NA
## 31 0.001 NA
## 32 0.001 NA
## 33 0.001 NA
## 34 0.001 NA
## 35 0.001 NA
## 36 0.001 NA
## 37 0.001 NA
## 38 0.000 NA
## 39 0.004 0.003
## 40 0.007 0.003
## 41 0.017 0.018
## 42 0.025 0.021
## 43 0.039 0.033
## 44 0.072 0.036
## 45 0.094 0.042
## 46 0.162 0.051
## 47 0.209 0.063
## 48 0.231 0.066
## 49 0.304 0.084
## 50 0.446 0.099
## 51 0.602 0.129
## 52 0.850 0.153
## 53 1.105 0.174
## 54 1.156 0.210
## 55 1.753 0.291
## 56 2.459 0.403
## 57 3.442 0.583
## 58 5.182 0.799
## 59 7.643 1.117
## 60 9.890 1.427
## 61 13.617 1.811
## 62 17.772 2.373
## 63 21.542 3.103
## 64 25.606 4.103
## 65 31.325 5.356
## 66 36.570 6.924
## 67 43.508 9.065
## 68 46.601 10.732
## 69 51.322 12.856
## 70 58.086 16.097
## 71 66.253 19.930
## 72 72.457 24.457
## 73 78.383 28.722
## 74 82.534 33.537
## 75 88.162 38.391
## 76 92.296 43.624
## 77 93.864 51.361
## 78 93.821 57.820
## 79 95.255 64.470
## 80 96.059 71.036
## 81 94.809 77.452
## 82 93.546 83.126
## 83 91.559 89.083
## 84 90.821 96.517
## 85 88.604 104.321
## 86 86.030 110.878
## 87 85.489 117.171
## 88 84.839 123.016
## 89 84.469 128.964
## 90 85.735 135.707
## 91 84.767 143.166
## 92 86.480 150.573
## 93 87.483 157.824
## 94 87.024 164.339
## 95 88.525 169.548
## 96 88.749 173.768
## 97 86.418 178.214
## 98 85.783 184.945
## 99 84.486 192.127
## 100 83.516 198.711
## 101 84.776 204.446
## 102 83.003 209.675
## 103 82.049 213.289
## 104 81.672 217.368
## 105 81.424 224.039
## 106 80.407 231.005
## 107 79.566 236.760
## 108 76.266 242.083
## 109 75.277 246.483
## 110 73.135 249.490
## 111 71.100 252.596
## 112 70.824 257.369
## 113 68.907 262.577
## 114 68.122 267.927
## 115 67.099 272.928
## 116 66.936 276.527
## 117 66.937 279.023
## 118 68.322 282.685
## 119 67.087 287.025
## 120 68.290 291.534
## 121 67.995 295.108
## 122 67.589 298.725
## 123 65.914 301.951
## 124 66.530 303.876
## 125 65.162 305.670
## 126 64.385 307.640
## 127 62.631 312.080
## 128 60.937 315.351
## 129 61.461 318.706
## 130 62.709 321.562
## 131 62.154 323.428
## 132 61.630 325.753
## 133 62.232 328.696
## 134 62.414 331.727
## 135 65.268 334.749
## 136 65.834 337.386
## 137 64.635 339.300
## 138 64.188 340.672
## 139 63.771 342.207
## 140 63.867 344.953
## 141 64.965 347.581
## 142 62.544 350.035
## 143 62.178 352.513
## 144 63.843 354.676
## 145 64.293 355.721
## 146 66.053 356.926
## 147 67.868 359.287
## 148 70.161 361.531
## 149 72.711 363.633
## 150 75.075 365.538
## 151 78.352 367.232
## 152 81.333 368.184
## 153 85.119 369.319
## 154 91.196 371.539
## 155 95.143 373.807
## 156 99.897 375.453
## 157 107.610 377.333
## 158 111.448 378.823
## 159 118.772 379.788
## 160 123.699 380.896
## 161 128.472 382.575
## 162 133.989 384.672
## 163 140.693 386.891
## 164 141.754 388.925
## 165 143.990 389.832
## 166 148.632 390.802
## 167 149.425 391.917
## 168 152.594 395.344
## 169 157.384 397.870
## 170 159.422 400.967
## 171 166.864 403.418
## 172 173.074 405.683
## 173 175.814 407.104
## 174 182.797 408.410
## 175 186.417 411.102
## 176 188.870 414.000
## 177 193.643 416.887
## 178 192.624 419.636
## 179 194.293 422.285
## 180 193.785 423.715
## 181 194.331 425.304
## 182 195.392 428.596
## 183 196.072 432.275
## 184 194.827 435.538
## 185 198.546 438.824
## 186 198.485 441.734
## 187 197.168 443.338
## 188 196.737 446.642
## 189 195.354 450.313
## 190 193.878 454.638
## 191 194.418 458.510
## 192 189.897 462.064
## 193 187.097 465.425
## 194 183.308 466.798
## 195 175.575 468.477
## 196 174.196 472.247
## 197 169.995 476.476
## 198 166.133 480.023
## 199 164.393 483.901
## 200 167.125 487.166
## 201 170.214 488.884
## 202 174.464 490.437
## 203 172.471 493.733
## 204 172.806 498.283
## 205 169.181 501.401
## 206 173.299 505.333
## 207 168.301 508.472
## 208 159.936 510.298
## 209 154.020 511.707
## 210 148.790 515.387
## 211 144.784 519.247
## 212 141.982 522.572
## 213 132.289 525.879
## 214 129.468 528.820
## 215 128.258 530.306
## 216 126.557 531.634
## 217 125.620 535.341
## 218 123.983 538.879
## 219 126.287 542.228
## 220 125.791 545.055
## 221 124.698 548.008
## 222 125.688 549.356
## 223 125.461 550.840
## 224 125.131 554.027
## 225 124.224 557.187
## 226 121.916 560.284
## 227 122.738 563.225
## 228 122.924 565.688
## 229 120.784 567.009
## 230 117.083 567.971
## 231 110.510 569.376
## 232 107.796 572.696
## 233 105.383 575.471
## 234 103.698 578.943
## 235 104.528 581.193
## 236 109.342 582.395
## 237 112.747 583.665
## 238 117.281 587.276
## 239 119.265 590.145
## 240 121.695 592.746
## 241 124.235 595.629
## 242 124.312 597.765
## 243 124.831 598.576
## 244 124.605 599.817
## 245 125.000 602.926
## 246 126.269 606.119
## 247 127.865 608.843
## 248 126.473 611.597
## 249 125.572 613.949
## 250 122.220 614.887
## 251 124.586 615.911
## 252 126.278 618.620
## 253 125.241 621.420
## 254 124.052 624.171
## 255 126.802 626.697
## 256 129.208 628.758
## 257 128.939 629.866
## 258 128.763 631.314
## 259 129.858 633.420
## 260 134.320 636.180
## 261 139.308 639.130
## 262 140.019 642.056
## 263 142.599 644.035
## 264 148.532 645.438
## 265 150.632 646.633
## 266 152.954 648.967
## 267 156.962 651.968
## 268 159.360 654.506
## 269 165.853 657.339
## 270 165.657 659.802
## 271 167.876 661.193
## 272 178.787 662.664
## 273 184.056 665.479
## 274 184.791 669.005
## 275 191.764 671.580
## 276 196.620 674.433
## 277 206.746 677.326
## 278 210.632 678.702
## 279 209.213 680.270
## 280 215.671 683.306
## 281 226.770 686.412
## 282 231.717 689.425
## 283 239.510 692.621
## 284 243.442 695.418
## 285 250.607 696.928
## 286 258.066 698.602
## 287 278.437 703.399
## 288 284.353 706.763
## 289 300.088 710.262
## 290 311.860 713.909
## 291 328.993 717.264
## 292 346.859 718.955
## 293 362.134 721.235
## 294 367.106 725.488
## 295 387.304 729.823
## 296 400.734 733.439
## 297 422.814 737.047
## 298 439.044 741.171
## 299 447.598 743.538
## 300 463.005 745.986
## 301 475.037 751.119
## 302 485.724 756.950
## 303 499.955 763.084
## 304 509.777 768.938
## 305 516.129 773.858
## 306 519.338 777.045
## 307 531.395 780.268
## 308 535.257 786.690
## 309 538.909 793.452
## 310 506.811 797.666
## 311 512.442 802.328
## 312 507.313 806.407
## 313 504.501 809.564
## 314 493.295 813.505
## 315 503.416 821.170
## 316 509.995 829.671
## 317 554.130 838.589
## 318 563.131 846.435
## 319 586.243 853.617
## 320 602.955 857.831
## 321 620.202 862.508
## 322 632.909 870.267
## 323 642.621 879.822
## 324 649.778 888.791
## 325 651.250 898.944
## 326 652.348 906.553
## 327 657.608 911.536
## 328 663.817 916.489
## 329 663.716 925.461
## 330 670.789 936.671
## 331 672.135 947.034
## 332 676.070 955.871
## 333 668.006 964.315
## 334 666.155 969.460
## 335 660.537 974.855
## 336 651.808 984.765
## 337 646.118 994.917
## 338 634.430 1003.694
## 339 582.554 1008.230
## 340 587.542 1013.964
## 341 565.486 1018.287
## 342 555.398 1023.925
## 343 555.352 1034.783
## 344 554.019 1046.597
## 345 597.880 1056.591
## 346 620.073 1063.325
## 347 643.570 1070.991
## 348 672.486 1075.307
## 349 677.791 1081.252
## 350 689.338 1092.077
## 351 707.100 1103.870
## 352 694.739 1115.963
## 353 748.433 1128.546
## 354 745.239 1138.323
## 355 748.471 1144.643
## 356 756.351 1150.164
## 357 751.596 1163.345
## 358 738.510 1175.414
## 359 716.746 1186.804
## 360 691.393 1198.255
## 361 671.165 1209.008
## 362 656.463 1214.989
## 363 629.392 1219.689
## 364 601.555 1226.889
## 365 583.589 1240.235
## 366 565.115 1252.662
## 367 542.249 1264.007
## 368 525.342 1274.688
## 369 509.705 1280.269
## 370 504.889 1285.586
## 371 502.365 1297.547
## 372 488.657 1309.947
## 373 477.593 1321.511
## 374 465.570 1332.322
## 375 453.869 1341.036
## 376 442.152 1346.914
## 377 440.310 1352.249
## 378 425.731 1362.864
## 379 412.380 1374.630
## 380 394.477 1386.293
## 381 380.442 1397.329
## 382 365.785 1405.551
## 383 355.728 1409.987
## 384 337.491 1414.346
## 385 328.145 1423.552
## 386 315.630 1433.786
## 387 307.804 1443.371
## 388 294.726 1452.034
## 389 283.559 1458.931
## 390 274.487 1462.529
## 391 262.738 1465.380
## 392 247.295 1470.318
## 393 235.987 1477.665
## 394 221.312 1485.496
## 395 210.406 1493.111
## 396 203.114 1498.917
## 397 197.524 1502.602
## 398 197.548 1506.210
## 399 203.816 1513.047
## 400 206.485 1522.851
## 401 208.494 1530.150
## 402 208.601 1536.623
## 403 207.534 1541.195
## 404 206.020 1544.520
## 405 203.862 1548.482
## 406 197.238 1554.288
## 407 193.804 1562.026
## 408 190.238 1567.889
## 409 187.000 1573.065
## 410 182.603 1577.661
## 411 178.255 1579.796
## 412 175.526 1581.914
## 413 174.274 1587.273
## 414 170.291 1591.998
## 415 167.205 1596.726
## 416 164.944 1601.024
## 417 163.145 1603.980
## 418 162.145 1605.578
## 419 165.100 1607.716
## 420 164.495 1611.504
## 421 165.150 1615.160
## 422 165.413 1620.113
## 423 164.996 1623.255
## 424 165.866 1625.586
## 425 164.188 1627.851
## 426 162.643 1629.542
## 427 162.126 1632.413
## 428 174.313 1636.901
## 429 176.567 1641.028
## 430 182.892 1644.552
## 431 185.145 1647.030
## 432 189.837 1648.420
## 433 197.721 1650.322
## 434 201.514 1653.046
## 435 193.723 1656.356
## 436 197.696 1659.715
## 437 196.697 1662.424
## 438 197.034 1664.740
## 439 193.428 1665.671
## 440 193.954 1667.116
## 441 194.457 1669.621
## 442 197.132 1677.449
## 443 198.521 1680.531
## 444 203.069 1683.261
## 445 205.539 1685.460
## 446 209.627 1686.325
## 447 207.530 1687.662
## 448 215.255 1690.305
## 449 215.189 1693.113
## 450 212.539 1695.829
## 451 212.046 1698.433
## 452 205.554 1700.566
## 453 204.009 1701.605
## 454 202.438 1703.068
## 455 194.544 1705.612
## 456 189.713 1708.292
## 457 186.610 1711.109
## 458 177.777 1713.374
## 459 177.550 1715.669
## 460 173.629 1716.570
## 461 166.700 1717.994
## 462 162.333 1720.015
## 463 158.402 1723.031
## 464 154.996 1725.689
## 465 152.928 1728.110
## 466 150.282 1730.345
## 467 148.510 1731.312
## 468 149.503 1732.748
## 469 145.448 1735.485
## 470 141.534 1737.942
## 471 136.127 1740.408
## 472 131.975 1742.859
## 473 126.329 1744.766
## 474 123.024 1745.541
## 475 117.776 1746.728
## 476 114.608 1748.794
## 477 110.347 1751.206
## 478 107.155 1753.573
## 479 104.490 1755.481
## 480 102.378 1757.073
## 481 100.164 1757.878
## 482 97.109 1759.052
## 483 94.281 1761.401
## 484 91.494 1763.447
## 485 87.832 1765.516
## 486 82.081 1767.388
## 487 77.988 1768.851
## 488 76.303 1769.439
## 489 74.865 1770.737
## 490 73.020 1772.680
## 491 70.861 1775.666
## 492 69.406 1779.709
## 493 66.583 1781.301
## 494 63.185 1782.358
## 495 60.432 1782.806
## 496 53.756 1783.323
## 497 52.119 1785.224
## 498 48.738 1786.912
## 499 45.117 1788.823
## 500 43.248 1790.397
## 501 44.224 1792.151
## 502 43.647 1792.640
## 503 46.986 1793.590
## 504 43.658 1794.551
## 505 44.437 1795.993
## 506 42.893 1797.251
## 507 46.007 1798.858
## 508 43.253 1799.687
## 509 42.929 1800.009
## 510 41.949 1800.567
## 511 40.966 1801.559
## 512 38.109 1802.724
## 513 36.807 1803.685
## 514 35.109 1805.506
## 515 35.052 1806.052
## 516 34.904 1806.280
## 517 34.375 1807.061
## 518 34.403 1808.098
## 519 34.733 1809.293
## 520 35.892 1810.324
## 521 37.358 1811.895
## 522 37.494 1812.360
## 523 37.365 1812.591
## 524 38.688 1813.030
## 525 37.253 1814.015
## 526 38.412 1814.925
## 527 38.693 1815.775
## 528 40.905 1817.079
## 529 39.206 1817.358
## 530 39.058 1817.482
## 531 37.039 1817.857
## 532 43.388 1818.761
## 533 45.451 1819.731
## 534 47.921 1820.461
## 535 55.568 1821.852
## 536 57.593 1822.110
## 537 60.801 1822.477
## 538 69.589 1823.165
## 539 71.427 1824.246
## 540 76.125 1825.231
## 541 80.887 1826.220
## 542 93.984 1827.586
## 543 95.693 1827.818
## 544 99.371 1828.079
## 545 107.707 1828.653
## 546 113.373 1829.518
## 547 120.496 1830.602
## 548 131.030 1831.467
## 549 149.350 1833.140
## 550 155.636 1833.519
## 551 158.912 1833.813
## 552 172.016 1834.597
## 553 182.843 1835.925
## 554 193.938 1837.057
## 555 200.816 1838.018
## 556 231.135 1840.665
## 557 237.646 1841.169
## 558 244.777 1841.845
## 559 257.178 1842.875
## 560 271.259 1844.606
## 561 283.632 1846.222
## 562 299.568 1847.778
## 563 325.503 1851.181
## 564 333.710 1851.947
## 565 329.541 1852.319
## 566 351.612 1853.884
## 567 360.194 1856.392
## 568 382.533 1858.765
## 569 397.276 1861.832
## 570 386.517 1864.983
## 571 390.831 1865.782
## 572 395.961 1866.395
## 573 410.761 1869.471
## 574 424.840 1872.547
## 575 430.479 1876.148
## 576 435.254 1881.486
## 577 440.547 1885.868
## 578 448.771 1887.562
## 579 447.655 1888.175
## 580 453.569 1892.173
## 581 455.240 1896.421
## 582 460.113 1901.043
## 583 472.413 1907.631
## 584 472.174 1912.833
## 585 466.507 1914.783
## 586 469.865 1915.714
## 587 478.821 1920.838
## 588 489.764 1925.104
## 589 494.687 1931.225
## 590 492.704 1940.216
## 591 491.335 1946.034
## 592 494.389 1947.983
## 593 499.316 1949.200
## 594 441.290 1951.074
## 595 453.650 1957.298
## 596 447.854 1964.117
## 597 442.357 1973.789
## 598 445.249 1981.226
## 599 446.629 1983.695
## 600 440.130 1984.806
## 601 490.328 1991.316
## 602 462.878 1996.990
## 603 461.450 2005.217
## 604 458.210 2015.586
## 605 444.784 2022.942
## 606 438.710 2025.883
## 607 437.196 2027.048
## 608 420.375 2033.981
## 609 410.456 2041.334
## 610 392.327 2049.394
## 611 379.581 2059.270
## 612 364.091 2066.698
## 613 357.909 2069.173
## 614 362.000 2070.879
## 615 355.090 2077.725
## 616 351.266 2085.244
## 617 347.010 2093.107
## 618 339.003 2101.533
## 619 330.424 2107.949
## 620 325.187 2110.421
## 621 321.061 2112.031
## 622 315.507 2117.807
## 623 307.983 2123.415
## 624 304.049 2131.381
## 625 300.204 2138.798
## 626 290.248 2144.208
## 627 286.151 2145.490
## 628 283.982 2146.923
## 629 263.916 2150.470
## 630 270.519 2157.349
## 631 268.892 2167.006
## 632 262.655 2173.515
## 633 253.190 2178.910
## 634 253.611 2180.550
## 635 250.159 2181.935
## 636 251.375 2187.261
## 637 239.097 2193.668
## 638 231.870 2203.202
## 639 228.022 2209.185
## 640 222.244 2214.766
## 641 219.043 2216.391
## 642 213.674 2217.154
## 643 219.540 2221.585
## 644 212.974 2226.343
## 645 217.645 2232.512
## 646 216.442 2238.051
## 647 216.038 2243.236
## 648 216.846 2244.353
## 649 222.560 2245.053
## 650 222.848 2248.904
## 651 223.706 2252.716
## 652 216.459 2258.600
## 653 219.139 2262.223
## 654 219.878 2268.627
## 655 220.203 2270.017
## 656 222.088 2270.615
## 657 220.960 2274.400
## 658 225.145 2278.674
## 659 229.199 2283.730
## 660 219.068 2286.349
## 661 239.055 2293.741
## 662 242.908 2295.423
## 663 240.792 2296.006
## 664 250.803 2299.953
## 665 254.628 2303.954
## 666 262.235 2308.892
## 667 284.609 2312.956
## 668 277.504 2318.342
## 669 278.102 2319.697
## 670 281.486 2320.343
## 671 286.085 2324.130
## 672 287.829 2328.257
## 673 287.220 2333.403
## 674 257.118 2334.818
## 675 225.524 2335.932
## 676 217.398 2336.869
## 677 218.852 2337.605
## 678 236.630 2343.417
## 679 247.692 2348.341
## 680 258.761 2354.519
## 681 301.268 2366.264
## 682 346.526 2370.995
## 683 363.660 2373.008
## 684 368.823 2374.170
## 685 365.239 2378.447
## 686 363.567 2383.151
## 687 369.059 2388.606
## 688 362.894 2393.307
## 689 362.670 2398.714
## 690 358.467 2400.516
## 691 357.223 2401.570
## 692 360.586 2405.812
## 693 361.350 2410.483
## 694 358.632 2417.235
## 695 366.041 2421.092
## 696 380.863 2426.661
## 697 390.706 2428.592
## 698 406.594 2429.481
## 699 430.034 2434.263
## 700 457.626 2440.112
## 701 500.561 2452.716
## 702 555.458 2456.885
## 703 579.501 2458.960
## 704 582.496 2459.648
## 705 620.666 2460.691
## 706 732.464 2466.070
## 707 810.710 2473.027
## 708 921.524 2480.101
## 709 1059.205 2484.589
## 710 1172.999 2486.727
## 711 1216.874 2487.893
## 712 1262.933 2489.028
## 713 1496.247 2494.564
## 714 1689.367 2501.503
## 715 1758.279 2508.054
## 716 1863.046 2514.161
## 717 2015.721 2521.358
## 718 2105.334 2523.782
## 719 2190.952 2525.533
## 720 2336.061 2531.652
## 721 2325.140 2539.095
## 722 2405.068 2547.506
## 723 2416.637 2555.018
## 724 2420.955 2563.221
## 725 2425.896 2566.126
## 726 2423.650 2568.337
## 727 2119.237 2571.389
## 728 2266.385 2579.481
## 729 2291.837 2589.808
## 730 2236.487 2598.416
## 731 2219.916 2608.521
## 732 2174.668 2611.405
## 733 2125.464 2613.510
## 734 2231.407 2620.098
## 735 1958.881 2629.623
## 736 1837.043 2641.070
## 737 1739.868 2648.691
## 738 1642.590 2660.979
## 739 1589.182 2664.451
## 740 1517.502 2665.812
## 741 1354.982 2673.808
## 742 1282.782 2683.817
## 743 1156.286 2694.531
## 744 1057.085 2701.788
## 745 945.886 2714.140
## 746 906.141 2716.744
## 747 856.956 2718.084
## 748 773.247 2727.362
## 749 725.402 2736.340
## 750 664.977 2746.643
## 751 620.503 2756.355
## 752 557.926 2764.420
## 753 543.028 2766.817
## 754 532.204 2768.472
## 755 456.719 2778.039
## 756 412.430 2785.855
## 757 380.808 2795.401
## 758 350.934 2804.109
## 759 323.364 2811.561
## 760 314.536 2813.495
## 761 299.381 2814.766
## 762 262.008 2817.460
## 763 252.624 2823.999
## 764 239.838 2833.302
## 765 224.919 2842.187
## 766 194.590 2848.309
## 767 201.427 2850.466
## 768 199.379 2851.087
## 769 206.250 2857.591
## 770 187.928 2862.889
## 771 174.333 2869.125
## 772 166.436 2874.192
## 773 156.449 2879.323
## 774 142.499 2880.152
## 775 139.388 2880.639
## 776 124.205 2885.712
## 777 116.950 2889.734
## 778 110.062 2895.669
## 779 109.128 2900.611
## 780 108.450 2905.008
## 781 106.526 2906.288
## 782 106.433 2906.792
## 783 94.128 2898.938
## 784 92.321 2902.785
## 785 95.601 2908.622
## 786 98.349 2913.683
## 787 91.397 2916.077
## 788 91.592 2916.921
## 789 89.789 2917.146
## 790 94.466 2921.640
## 791 93.376 2923.307
## 792 91.648 2928.164
## 793 87.893 2931.267
## 794 94.202 2933.196
## 795 93.517 2933.637
## new_deaths_per_million new_deaths_smoothed_per_million reproduction_rate
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## 7 NA NA NA
## 8 NA NA NA
## 9 NA NA NA
## 10 NA NA NA
## 11 NA NA NA
## 12 NA NA NA
## 13 NA NA NA
## 14 NA NA NA
## 15 NA NA NA
## 16 NA NA NA
## 17 NA NA NA
## 18 NA NA NA
## 19 NA NA NA
## 20 NA NA NA
## 21 NA NA NA
## 22 NA NA NA
## 23 NA NA NA
## 24 NA NA NA
## 25 NA NA NA
## 26 NA NA NA
## 27 NA NA NA
## 28 NA NA NA
## 29 NA NA NA
## 30 NA NA NA
## 31 NA NA NA
## 32 NA NA NA
## 33 NA NA NA
## 34 NA NA NA
## 35 NA NA NA
## 36 NA NA NA
## 37 NA NA NA
## 38 NA NA NA
## 39 0.003 NA NA
## 40 0.000 NA NA
## 41 0.015 NA NA
## 42 0.003 NA NA
## 43 0.012 NA NA
## 44 0.003 NA 3.62
## 45 0.006 0.006 3.56
## 46 0.009 0.007 3.58
## 47 0.012 0.009 3.46
## 48 0.003 0.007 3.31
## 49 0.018 0.009 3.36
## 50 0.015 0.009 3.42
## 51 0.030 0.013 3.40
## 52 0.024 0.016 3.42
## 53 0.021 0.018 3.37
## 54 0.036 0.021 3.40
## 55 0.081 0.032 3.62
## 56 0.111 0.045 3.67
## 57 0.180 0.069 3.65
## 58 0.216 0.096 3.63
## 59 0.318 0.138 3.52
## 60 0.309 0.179 3.33
## 61 0.384 0.229 3.22
## 62 0.562 0.297 2.99
## 63 0.730 0.386 2.75
## 64 1.000 0.503 2.54
## 65 1.253 0.651 2.41
## 66 1.568 0.829 2.29
## 67 2.142 1.091 2.20
## 68 1.667 1.274 2.09
## 69 2.124 1.498 2.00
## 70 3.241 1.856 1.91
## 71 3.833 2.261 1.81
## 72 4.527 2.729 1.70
## 73 4.265 3.114 1.62
## 74 4.815 3.496 1.55
## 75 4.854 3.951 1.49
## 76 5.233 4.395 1.41
## 77 7.738 5.038 1.33
## 78 6.458 5.413 1.25
## 79 6.650 5.716 1.20
## 80 6.566 6.045 1.15
## 81 6.416 6.274 1.13
## 82 5.674 6.391 1.11
## 83 5.956 6.494 1.07
## 84 7.434 6.451 1.04
## 85 7.804 6.643 1.01
## 86 6.557 6.630 1.00
## 87 6.293 6.591 1.01
## 88 5.845 6.509 1.02
## 89 5.947 6.548 1.03
## 90 6.743 6.661 1.03
## 91 7.458 6.664 1.02
## 92 7.407 6.607 1.01
## 93 7.251 6.707 1.00
## 94 6.515 6.738 1.00
## 95 5.209 6.647 1.00
## 96 4.220 6.401 1.00
## 97 4.446 6.072 0.98
## 98 6.731 5.968 0.97
## 99 7.182 5.936 0.97
## 100 6.584 5.841 0.96
## 101 5.734 5.729 0.97
## 102 5.230 5.732 0.96
## 103 3.614 5.646 0.96
## 104 4.079 5.593 0.95
## 105 6.671 5.585 0.93
## 106 6.966 5.554 0.92
## 107 5.755 5.436 0.91
## 108 5.323 5.377 0.91
## 109 4.401 5.258 0.91
## 110 3.007 5.172 0.90
## 111 3.106 5.033 0.91
## 112 4.773 4.761 0.91
## 113 5.209 4.510 0.91
## 114 5.350 4.452 0.92
## 115 5.001 4.407 0.93
## 116 3.599 4.292 0.94
## 117 2.496 4.219 0.95
## 118 3.662 4.298 0.96
## 119 4.340 4.237 0.95
## 120 4.509 4.137 0.95
## 121 3.574 3.883 0.95
## 122 3.617 3.685 0.94
## 123 3.226 3.632 0.94
## 124 1.925 3.550 0.95
## 125 1.793 3.284 0.94
## 126 1.970 2.945 0.94
## 127 4.440 2.935 0.94
## 128 3.271 2.892 0.95
## 129 3.355 2.854 0.97
## 130 2.857 2.802 0.99
## 131 1.865 2.793 0.99
## 132 2.325 2.869 0.99
## 133 2.944 3.008 1.00
## 134 3.031 2.807 1.00
## 135 3.022 2.771 1.02
## 136 2.637 2.669 1.01
## 137 1.913 2.534 1.00
## 138 1.373 2.464 0.99
## 139 1.535 2.351 1.00
## 140 2.745 2.322 1.00
## 141 2.628 2.265 1.02
## 142 2.454 2.184 1.03
## 143 2.478 2.161 1.05
## 144 2.163 2.197 1.07
## 145 1.045 2.150 1.09
## 146 1.205 2.103 1.11
## 147 2.361 2.048 1.13
## 148 2.244 1.993 1.16
## 149 2.103 1.943 1.18
## 150 1.904 1.861 1.20
## 151 1.694 1.794 1.23
## 152 0.952 1.780 1.24
## 153 1.135 1.771 1.27
## 154 2.220 1.750 1.29
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## 761 1.271 6.613 0.54
## 762 2.694 5.632 0.53
## 763 6.539 5.449 0.56
## 764 9.303 5.415 0.57
## 765 8.885 5.440 0.58
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## 767 2.157 5.281 0.62
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## 769 6.503 5.733 0.63
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## 779 4.941 3.774 0.68
## 780 4.398 3.669 0.71
## 781 1.280 3.734 0.71
## 782 0.505 3.736 0.72
## 783 NA NA 0.73
## 784 3.848 NA 0.78
## 785 5.836 NA 0.82
## 786 5.061 NA 0.84
## 787 2.394 NA 0.83
## 788 0.844 NA 0.83
## 789 0.225 NA 0.85
## 790 4.494 3.243 0.88
## 791 1.667 2.932 0.90
## 792 4.857 2.792 0.92
## 793 3.103 2.512 0.93
## 794 1.928 2.445 NA
## 795 0.442 2.388 NA
## icu_patients icu_patients_per_million hosp_patients
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## 7 NA NA NA
## 8 NA NA NA
## 9 NA NA NA
## 10 NA NA NA
## 11 NA NA NA
## 12 NA NA NA
## 13 NA NA NA
## 14 NA NA NA
## 15 NA NA NA
## 16 NA NA NA
## 17 NA NA NA
## 18 NA NA NA
## 19 NA NA NA
## 20 NA NA NA
## 21 NA NA NA
## 22 NA NA NA
## 23 NA NA NA
## 24 NA NA NA
## 25 NA NA NA
## 26 NA NA NA
## 27 NA NA NA
## 28 NA NA NA
## 29 NA NA NA
## 30 NA NA NA
## 31 NA NA NA
## 32 NA NA NA
## 33 NA NA NA
## 34 NA NA NA
## 35 NA NA NA
## 36 NA NA NA
## 37 NA NA NA
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## 40 NA NA NA
## 41 NA NA NA
## 42 NA NA NA
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## 44 NA NA NA
## 45 NA NA NA
## 46 NA NA NA
## 47 NA NA NA
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## 53 NA NA NA
## 54 NA NA NA
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## 60 NA NA NA
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## 100 NA NA NA
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## 140 NA NA NA
## 141 NA NA NA
## 142 NA NA NA
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## 144 NA NA NA
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## 146 NA NA NA
## 147 NA NA NA
## 148 NA NA NA
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## 151 NA NA NA
## 152 NA NA NA
## 153 NA NA NA
## 154 NA NA NA
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## 156 NA NA NA
## 157 NA NA NA
## 158 NA NA NA
## 159 NA NA NA
## 160 NA NA NA
## 161 NA NA NA
## 162 NA NA NA
## 163 NA NA NA
## 164 NA NA NA
## 165 NA NA NA
## 166 NA NA NA
## 167 NA NA NA
## 168 NA NA NA
## 169 NA NA NA
## 170 NA NA NA
## 171 NA NA NA
## 172 NA NA NA
## 173 NA NA NA
## 174 NA NA NA
## 175 NA NA NA
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## 735 25311 76.028 143297
## 736 25078 75.329 141699
## 737 24470 73.502 137501
## 738 24021 72.154 133317
## 739 23432 70.384 127040
## 740 23196 69.675 125814
## 741 22909 68.813 124054
## 742 22670 68.095 120532
## 743 21913 65.822 117188
## 744 21333 64.079 112670
## 745 20576 61.806 107685
## 746 19642 59.000 101694
## 747 19280 57.913 99087
## 748 18979 57.009 97280
## 749 18351 55.122 93609
## 750 17719 53.224 90123
## 751 17049 51.211 86057
## 752 16133 48.460 81534
## 753 15445 46.393 76857
## 754 14899 44.753 74367
## 755 14404 43.266 72121
## 756 13827 41.533 68741
## 757 13153 39.509 65255
## 758 12551 37.700 61872
## 759 11921 35.808 58668
## 760 11238 33.756 54817
## 761 10778 32.375 52978
## 762 10456 31.407 51326
## 763 10177 30.569 49434
## 764 9632 28.932 47085
## 765 9414 28.277 45811
## 766 8908 26.758 43438
## 767 8289 24.898 40665
## 768 7881 23.673 39329
## 769 7551 22.681 37884
## 770 7330 22.018 36224
## 771 6989 20.993 34724
## 772 6676 20.053 32908
## 773 6216 18.671 30705
## 774 5843 17.551 28535
## 775 5653 16.980 27719
## 776 5491 16.494 27074
## 777 5118 15.373 25787
## 778 4876 14.646 24767
## 779 4629 13.904 23718
## 780 4363 13.105 22390
## 781 4069 12.222 21088
## 782 3960 11.895 20389
## 783 3684 11.066 19015
## 784 3503 10.522 18511
## 785 3451 10.366 17935
## 786 3293 9.891 17396
## 787 3115 9.357 16502
## 788 3045 9.146 15631
## 789 2941 8.834 15309
## 790 2873 8.630 15090
## 791 NA NA NA
## 792 NA NA NA
## 793 NA NA NA
## 794 NA NA NA
## 795 NA NA NA
## hosp_patients_per_million weekly_icu_admissions
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA NA
## 7 NA NA
## 8 NA NA
## 9 NA NA
## 10 NA NA
## 11 NA NA
## 12 NA NA
## 13 NA NA
## 14 NA NA
## 15 NA NA
## 16 NA NA
## 17 NA NA
## 18 NA NA
## 19 NA NA
## 20 NA NA
## 21 NA NA
## 22 NA NA
## 23 NA NA
## 24 NA NA
## 25 NA NA
## 26 NA NA
## 27 NA NA
## 28 NA NA
## 29 NA NA
## 30 NA NA
## 31 NA NA
## 32 NA NA
## 33 NA NA
## 34 NA NA
## 35 NA NA
## 36 NA NA
## 37 NA NA
## 38 NA NA
## 39 NA NA
## 40 NA NA
## 41 NA NA
## 42 NA NA
## 43 NA NA
## 44 NA NA
## 45 NA NA
## 46 NA NA
## 47 NA NA
## 48 NA NA
## 49 NA NA
## 50 NA NA
## 51 NA NA
## 52 NA NA
## 53 NA NA
## 54 NA NA
## 55 NA NA
## 56 NA NA
## 57 NA NA
## 58 NA NA
## 59 NA NA
## 60 NA NA
## 61 NA NA
## 62 NA NA
## 63 NA NA
## 64 NA NA
## 65 NA NA
## 66 NA NA
## 67 NA NA
## 68 NA NA
## 69 NA NA
## 70 NA NA
## 71 NA NA
## 72 NA NA
## 73 NA NA
## 74 NA NA
## 75 NA NA
## 76 NA NA
## 77 NA NA
## 78 NA NA
## 79 NA NA
## 80 NA NA
## 81 NA NA
## 82 NA NA
## 83 NA NA
## 84 NA NA
## 85 NA NA
## 86 NA NA
## 87 NA NA
## 88 NA NA
## 89 NA NA
## 90 NA NA
## 91 NA NA
## 92 NA NA
## 93 NA NA
## 94 NA NA
## 95 NA NA
## 96 NA NA
## 97 NA NA
## 98 NA NA
## 99 NA NA
## 100 NA NA
## 101 NA NA
## 102 NA NA
## 103 NA NA
## 104 NA NA
## 105 NA NA
## 106 NA NA
## 107 NA NA
## 108 NA NA
## 109 NA NA
## 110 NA NA
## 111 NA NA
## 112 NA NA
## 113 NA NA
## 114 NA NA
## 115 NA NA
## 116 NA NA
## 117 NA NA
## 118 NA NA
## 119 NA NA
## 120 NA NA
## 121 NA NA
## 122 NA NA
## 123 NA NA
## 124 NA NA
## 125 NA NA
## 126 NA NA
## 127 NA NA
## 128 NA NA
## 129 NA NA
## 130 NA NA
## 131 NA NA
## 132 NA NA
## 133 NA NA
## 134 NA NA
## 135 NA NA
## 136 NA NA
## 137 NA NA
## 138 NA NA
## 139 NA NA
## 140 NA NA
## 141 NA NA
## 142 NA NA
## 143 NA NA
## 144 NA NA
## 145 NA NA
## 146 NA NA
## 147 NA NA
## 148 NA NA
## 149 NA NA
## 150 NA NA
## 151 NA NA
## 152 NA NA
## 153 NA NA
## 154 NA NA
## 155 NA NA
## 156 NA NA
## 157 NA NA
## 158 NA NA
## 159 NA NA
## 160 NA NA
## 161 NA NA
## 162 NA NA
## 163 NA NA
## 164 NA NA
## 165 NA NA
## 166 NA NA
## 167 NA NA
## 168 NA NA
## 169 NA NA
## 170 NA NA
## 171 NA NA
## 172 NA NA
## 173 NA NA
## 174 NA NA
## 175 NA NA
## 176 101.404 NA
## 177 115.756 NA
## 178 120.331 NA
## 179 121.277 NA
## 180 113.843 NA
## 181 123.575 NA
## 182 126.744 NA
## 183 138.495 NA
## 184 143.652 NA
## 185 140.390 NA
## 186 155.652 NA
## 187 129.667 NA
## 188 141.673 NA
## 189 144.511 NA
## 190 137.011 NA
## 191 140.667 NA
## 192 138.624 NA
## 193 151.441 NA
## 194 150.897 NA
## 195 136.041 NA
## 196 135.569 NA
## 197 134.151 NA
## 198 131.835 NA
## 199 129.790 NA
## 200 124.927 NA
## 201 124.593 NA
## 202 126.363 NA
## 203 125.083 NA
## 204 125.606 NA
## 205 123.875 NA
## 206 120.091 NA
## 207 116.243 NA
## 208 116.696 NA
## 209 117.243 NA
## 210 116.838 NA
## 211 114.149 NA
## 212 112.104 NA
## 213 108.103 NA
## 214 104.795 NA
## 215 103.957 NA
## 216 104.504 NA
## 217 103.567 NA
## 218 100.999 NA
## 219 99.980 NA
## 220 95.814 NA
## 221 93.652 NA
## 222 93.342 NA
## 223 94.303 NA
## 224 93.471 NA
## 225 92.597 NA
## 226 91.011 NA
## 227 89.750 NA
## 228 86.644 NA
## 229 85.214 NA
## 230 85.875 NA
## 231 86.962 NA
## 232 86.433 NA
## 233 84.301 NA
## 234 82.207 NA
## 235 79.636 NA
## 236 79.086 NA
## 237 80.462 NA
## 238 80.904 NA
## 239 79.215 NA
## 240 78.353 NA
## 241 77.596 NA
## 242 76.539 NA
## 243 76.725 NA
## 244 79.236 NA
## 245 79.420 NA
## 246 79.549 NA
## 247 79.318 NA
## 248 78.921 NA
## 249 77.807 NA
## 250 78.008 NA
## 251 81.165 NA
## 252 82.622 NA
## 253 83.108 NA
## 254 82.535 NA
## 255 82.327 NA
## 256 81.916 NA
## 257 83.718 NA
## 258 86.977 NA
## 259 90.128 NA
## 260 91.741 NA
## 261 93.159 NA
## 262 93.736 NA
## 263 93.063 NA
## 264 94.420 NA
## 265 98.397 NA
## 266 100.635 NA
## 267 101.849 NA
## 268 103.291 NA
## 269 104.048 NA
## 270 103.086 NA
## 271 105.168 NA
## 272 109.430 NA
## 273 112.374 NA
## 274 114.456 NA
## 275 116.690 NA
## 276 117.375 NA
## 277 118.186 NA
## 278 120.103 NA
## 279 124.140 NA
## 280 126.975 NA
## 281 130.613 NA
## 282 132.658 NA
## 283 135.509 NA
## 284 135.428 NA
## 285 138.432 NA
## 286 144.094 NA
## 287 147.500 NA
## 288 151.585 NA
## 289 155.550 NA
## 290 158.713 NA
## 291 161.654 NA
## 292 167.343 NA
## 293 175.630 NA
## 294 184.476 NA
## 295 190.226 NA
## 296 195.888 NA
## 297 198.525 NA
## 298 201.898 NA
## 299 208.801 NA
## 300 219.570 NA
## 301 226.773 NA
## 302 232.242 NA
## 303 235.318 NA
## 304 239.503 NA
## 305 239.875 NA
## 306 245.684 NA
## 307 252.836 NA
## 308 258.441 NA
## 309 261.691 NA
## 310 259.976 NA
## 311 264.632 NA
## 312 269.138 NA
## 313 277.692 NA
## 314 285.643 NA
## 315 290.383 NA
## 316 293.883 NA
## 317 293.916 NA
## 318 294.790 NA
## 319 292.105 NA
## 320 296.331 NA
## 321 303.462 NA
## 322 307.298 NA
## 323 313.506 NA
## 324 315.540 NA
## 325 317.357 NA
## 326 316.471 NA
## 327 322.611 NA
## 328 329.480 NA
## 329 333.406 NA
## 330 336.449 NA
## 331 337.759 NA
## 332 336.765 NA
## 333 333.530 NA
## 334 337.627 NA
## 335 344.376 NA
## 336 353.024 NA
## 337 354.760 NA
## 338 349.257 NA
## 339 340.913 NA
## 340 346.995 NA
## 341 357.409 NA
## 342 364.730 NA
## 343 368.454 NA
## 344 372.230 NA
## 345 370.503 NA
## 346 363.615 NA
## 347 368.466 NA
## 348 377.258 NA
## 349 382.758 NA
## 350 387.060 NA
## 351 389.904 NA
## 352 386.943 NA
## 353 384.161 NA
## 354 379.755 NA
## 355 380.091 NA
## 356 383.398 NA
## 357 381.749 NA
## 358 380.232 NA
## 359 400.306 NA
## 360 371.837 NA
## 361 363.874 NA
## 362 362.960 NA
## 363 361.720 NA
## 364 358.599 NA
## 365 351.871 NA
## 366 342.730 NA
## 367 335.927 NA
## 368 324.786 NA
## 369 321.427 NA
## 370 319.205 NA
## 371 314.275 NA
## 372 308.379 NA
## 373 300.533 NA
## 374 288.695 NA
## 375 277.993 NA
## 376 274.659 NA
## 377 272.087 NA
## 378 267.347 NA
## 379 262.211 NA
## 380 254.131 NA
## 381 246.727 NA
## 382 237.637 NA
## 383 233.891 NA
## 384 230.900 NA
## 385 227.163 NA
## 386 218.852 NA
## 387 210.594 NA
## 388 202.872 NA
## 389 194.530 NA
## 390 190.139 NA
## 391 186.876 NA
## 392 184.744 NA
## 393 186.994 NA
## 394 175.147 NA
## 395 170.431 NA
## 396 163.411 NA
## 397 161.047 NA
## 398 159.278 NA
## 399 156.148 NA
## 400 153.087 NA
## 401 147.326 NA
## 402 141.865 NA
## 403 136.179 NA
## 404 134.791 NA
## 405 131.328 NA
## 406 128.111 NA
## 407 126.636 NA
## 408 120.679 NA
## 409 118.895 NA
## 410 114.765 NA
## 411 113.452 NA
## 412 113.203 NA
## 413 111.260 NA
## 414 110.136 NA
## 415 107.880 NA
## 416 107.078 NA
## 417 105.084 NA
## 418 103.369 NA
## 419 104.234 NA
## 420 103.861 NA
## 421 103.915 NA
## 422 102.441 NA
## 423 102.233 NA
## 424 99.767 NA
## 425 99.974 NA
## 426 101.353 NA
## 427 102.116 NA
## 428 103.234 NA
## 429 103.216 NA
## 430 104.033 NA
## 431 101.966 NA
## 432 103.522 NA
## 433 105.213 NA
## 434 106.387 NA
## 435 106.838 NA
## 436 106.847 NA
## 437 106.955 NA
## 438 105.718 NA
## 439 107.159 NA
## 440 110.010 NA
## 441 112.795 NA
## 442 113.398 NA
## 443 114.002 NA
## 444 113.711 NA
## 445 112.780 NA
## 446 114.411 NA
## 447 116.928 NA
## 448 117.751 NA
## 449 118.571 NA
## 450 117.712 NA
## 451 118.367 NA
## 452 117.183 NA
## 453 118.529 NA
## 454 120.788 NA
## 455 120.770 NA
## 456 120.304 NA
## 457 117.751 NA
## 458 115.831 NA
## 459 112.212 NA
## 460 111.539 NA
## 461 112.761 NA
## 462 111.761 NA
## 463 110.797 NA
## 464 108.100 NA
## 465 106.225 NA
## 466 102.143 NA
## 467 101.419 NA
## 468 102.020 NA
## 469 101.392 NA
## 470 100.173 NA
## 471 97.638 NA
## 472 95.616 NA
## 473 92.020 NA
## 474 90.576 NA
## 475 90.074 NA
## 476 88.557 NA
## 477 87.458 NA
## 478 84.628 NA
## 479 82.369 NA
## 480 78.651 NA
## 481 77.035 NA
## 482 76.785 NA
## 483 75.163 NA
## 484 74.881 NA
## 485 71.952 NA
## 486 70.279 NA
## 487 68.014 NA
## 488 67.420 NA
## 489 67.378 NA
## 490 66.344 NA
## 491 64.890 NA
## 492 63.247 NA
## 493 61.271 NA
## 494 58.495 NA
## 495 57.258 NA
## 496 56.104 NA
## 497 56.041 NA
## 498 54.329 NA
## 499 52.968 NA
## 500 50.974 NA
## 501 48.955 NA
## 502 48.021 NA
## 503 47.285 NA
## 504 46.949 NA
## 505 45.856 NA
## 506 44.570 NA
## 507 43.317 NA
## 508 41.873 NA
## 509 41.924 NA
## 510 41.839 NA
## 511 41.218 NA
## 512 40.539 NA
## 513 39.331 NA
## 514 38.613 NA
## 515 37.496 NA
## 516 37.556 NA
## 517 37.826 NA
## 518 37.664 NA
## 519 37.884 NA
## 520 37.238 NA
## 521 37.271 NA
## 522 36.760 NA
## 523 36.745 NA
## 524 37.577 NA
## 525 38.040 NA
## 526 38.692 NA
## 527 38.643 NA
## 528 39.758 NA
## 529 38.803 NA
## 530 39.412 NA
## 531 40.350 NA
## 532 41.975 NA
## 533 44.050 NA
## 534 45.279 NA
## 535 46.285 NA
## 536 47.189 NA
## 537 49.250 NA
## 538 52.055 NA
## 539 54.681 NA
## 540 57.327 NA
## 541 59.820 NA
## 542 62.701 NA
## 543 64.866 NA
## 544 67.777 NA
## 545 72.874 NA
## 546 77.197 NA
## 547 81.273 NA
## 548 85.923 NA
## 549 90.999 NA
## 550 94.526 NA
## 551 100.344 NA
## 552 107.379 NA
## 553 115.032 NA
## 554 121.599 NA
## 555 126.759 NA
## 556 133.791 NA
## 557 139.459 NA
## 558 145.797 NA
## 559 155.535 NA
## 560 163.615 NA
## 561 171.077 NA
## 562 178.986 NA
## 563 186.600 NA
## 564 190.872 NA
## 565 199.357 NA
## 566 209.777 NA
## 567 217.836 NA
## 568 224.832 NA
## 569 231.194 NA
## 570 236.036 NA
## 571 239.166 NA
## 572 245.180 NA
## 573 253.257 NA
## 574 260.559 NA
## 575 266.305 NA
## 576 268.618 NA
## 577 270.913 NA
## 578 271.592 NA
## 579 277.065 NA
## 580 284.403 NA
## 581 288.335 NA
## 582 288.389 NA
## 583 289.470 NA
## 584 288.939 NA
## 585 285.571 NA
## 586 288.737 NA
## 587 291.966 NA
## 588 293.829 NA
## 589 294.450 NA
## 590 293.802 NA
## 591 290.870 NA
## 592 285.604 NA
## 593 286.199 NA
## 594 288.091 NA
## 595 290.795 NA
## 596 289.939 NA
## 597 287.413 NA
## 598 284.033 NA
## 599 276.284 NA
## 600 274.968 NA
## 601 276.821 NA
## 602 272.241 NA
## 603 269.069 NA
## 604 265.083 NA
## 605 260.667 NA
## 606 253.437 NA
## 607 250.797 NA
## 608 251.340 NA
## 609 247.384 NA
## 610 242.927 NA
## 611 238.025 NA
## 612 232.453 NA
## 613 224.703 NA
## 614 222.763 NA
## 615 221.936 NA
## 616 217.848 NA
## 617 212.433 NA
## 618 207.014 NA
## 619 201.625 NA
## 620 194.746 NA
## 621 193.386 NA
## 622 193.701 NA
## 623 190.757 NA
## 624 187.411 NA
## 625 183.509 NA
## 626 178.601 NA
## 627 174.032 NA
## 628 172.699 NA
## 629 173.071 NA
## 630 171.170 NA
## 631 167.887 NA
## 632 163.898 NA
## 633 160.269 NA
## 634 155.700 NA
## 635 154.700 NA
## 636 155.364 NA
## 637 151.976 NA
## 638 148.131 NA
## 639 145.397 NA
## 640 142.535 NA
## 641 139.363 NA
## 642 138.510 NA
## 643 139.309 NA
## 644 137.636 NA
## 645 135.188 NA
## 646 132.752 NA
## 647 130.703 NA
## 648 128.453 NA
## 649 127.693 NA
## 650 128.030 NA
## 651 127.029 NA
## 652 126.104 NA
## 653 124.224 NA
## 654 122.986 NA
## 655 120.676 NA
## 656 121.566 NA
## 657 124.200 NA
## 658 125.347 NA
## 659 125.588 NA
## 660 125.308 NA
## 661 125.053 NA
## 662 124.269 NA
## 663 125.771 NA
## 664 130.018 NA
## 665 132.190 NA
## 666 133.274 NA
## 667 135.455 NA
## 668 135.641 NA
## 669 134.644 NA
## 670 136.290 NA
## 671 140.679 NA
## 672 143.286 NA
## 673 143.881 NA
## 674 142.069 NA
## 675 144.749 NA
## 676 147.392 NA
## 677 150.684 NA
## 678 155.631 NA
## 679 158.127 NA
## 680 160.131 NA
## 681 160.960 NA
## 682 163.381 NA
## 683 163.922 NA
## 684 167.220 NA
## 685 172.558 NA
## 686 177.036 NA
## 687 179.388 NA
## 688 181.341 NA
## 689 183.717 NA
## 690 182.993 NA
## 691 185.399 NA
## 692 189.490 NA
## 693 189.970 NA
## 694 189.925 NA
## 695 189.553 NA
## 696 189.508 NA
## 697 186.246 NA
## 698 187.871 NA
## 699 191.532 NA
## 700 192.500 NA
## 701 195.389 NA
## 702 197.230 NA
## 703 197.711 NA
## 704 199.588 NA
## 705 209.459 NA
## 706 224.358 NA
## 707 239.313 NA
## 708 256.864 NA
## 709 270.222 NA
## 710 281.681 NA
## 711 290.044 NA
## 712 308.466 NA
## 713 326.747 NA
## 714 345.022 NA
## 715 364.892 NA
## 716 381.458 NA
## 717 396.122 NA
## 718 401.319 NA
## 719 412.357 NA
## 720 427.280 NA
## 721 438.049 NA
## 722 449.682 NA
## 723 453.620 NA
## 724 456.744 NA
## 725 449.142 NA
## 726 450.628 NA
## 727 453.299 NA
## 728 460.286 NA
## 729 464.202 NA
## 730 459.396 NA
## 731 451.304 NA
## 732 437.613 NA
## 733 434.880 NA
## 734 434.823 NA
## 735 430.431 NA
## 736 425.631 NA
## 737 413.021 NA
## 738 400.453 NA
## 739 381.599 NA
## 740 377.916 NA
## 741 372.630 NA
## 742 362.050 NA
## 743 352.006 NA
## 744 338.435 NA
## 745 323.461 NA
## 746 305.465 NA
## 747 297.634 NA
## 748 292.207 NA
## 749 281.180 NA
## 750 270.709 NA
## 751 258.495 NA
## 752 244.909 NA
## 753 230.861 NA
## 754 223.381 NA
## 755 216.635 NA
## 756 206.482 NA
## 757 196.011 NA
## 758 185.849 NA
## 759 176.225 NA
## 760 164.658 NA
## 761 159.134 NA
## 762 154.171 NA
## 763 148.488 NA
## 764 141.432 NA
## 765 137.606 NA
## 766 130.478 NA
## 767 122.148 NA
## 768 118.135 NA
## 769 113.795 NA
## 770 108.809 NA
## 771 104.303 NA
## 772 98.848 NA
## 773 92.231 NA
## 774 85.713 NA
## 775 83.261 NA
## 776 81.324 NA
## 777 77.458 NA
## 778 74.394 NA
## 779 71.243 NA
## 780 67.254 NA
## 781 63.343 NA
## 782 61.244 NA
## 783 57.117 NA
## 784 55.603 NA
## 785 53.873 NA
## 786 52.254 NA
## 787 49.568 NA
## 788 46.952 NA
## 789 45.985 NA
## 790 45.327 NA
## 791 NA NA
## 792 NA NA
## 793 NA NA
## 794 NA NA
## 795 NA NA
## weekly_icu_admissions_per_million weekly_hosp_admissions
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA NA
## 7 NA NA
## 8 NA NA
## 9 NA NA
## 10 NA NA
## 11 NA NA
## 12 NA NA
## 13 NA NA
## 14 NA NA
## 15 NA NA
## 16 NA NA
## 17 NA NA
## 18 NA NA
## 19 NA NA
## 20 NA NA
## 21 NA NA
## 22 NA NA
## 23 NA NA
## 24 NA NA
## 25 NA NA
## 26 NA NA
## 27 NA NA
## 28 NA NA
## 29 NA NA
## 30 NA NA
## 31 NA NA
## 32 NA NA
## 33 NA NA
## 34 NA NA
## 35 NA NA
## 36 NA NA
## 37 NA NA
## 38 NA NA
## 39 NA NA
## 40 NA NA
## 41 NA NA
## 42 NA NA
## 43 NA NA
## 44 NA NA
## 45 NA NA
## 46 NA NA
## 47 NA NA
## 48 NA NA
## 49 NA NA
## 50 NA NA
## 51 NA NA
## 52 NA NA
## 53 NA NA
## 54 NA NA
## 55 NA NA
## 56 NA NA
## 57 NA NA
## 58 NA NA
## 59 NA NA
## 60 NA NA
## 61 NA NA
## 62 NA NA
## 63 NA NA
## 64 NA NA
## 65 NA NA
## 66 NA NA
## 67 NA NA
## 68 NA NA
## 69 NA NA
## 70 NA NA
## 71 NA NA
## 72 NA NA
## 73 NA NA
## 74 NA NA
## 75 NA NA
## 76 NA NA
## 77 NA NA
## 78 NA NA
## 79 NA NA
## 80 NA NA
## 81 NA NA
## 82 NA NA
## 83 NA NA
## 84 NA NA
## 85 NA NA
## 86 NA NA
## 87 NA NA
## 88 NA NA
## 89 NA NA
## 90 NA NA
## 91 NA NA
## 92 NA NA
## 93 NA NA
## 94 NA NA
## 95 NA NA
## 96 NA NA
## 97 NA NA
## 98 NA NA
## 99 NA NA
## 100 NA NA
## 101 NA NA
## 102 NA NA
## 103 NA NA
## 104 NA NA
## 105 NA NA
## 106 NA NA
## 107 NA NA
## 108 NA NA
## 109 NA NA
## 110 NA NA
## 111 NA NA
## 112 NA NA
## 113 NA NA
## 114 NA NA
## 115 NA NA
## 116 NA NA
## 117 NA NA
## 118 NA NA
## 119 NA NA
## 120 NA NA
## 121 NA NA
## 122 NA NA
## 123 NA NA
## 124 NA NA
## 125 NA NA
## 126 NA NA
## 127 NA NA
## 128 NA NA
## 129 NA NA
## 130 NA NA
## 131 NA NA
## 132 NA NA
## 133 NA NA
## 134 NA NA
## 135 NA NA
## 136 NA NA
## 137 NA NA
## 138 NA NA
## 139 NA NA
## 140 NA NA
## 141 NA NA
## 142 NA NA
## 143 NA NA
## 144 NA NA
## 145 NA NA
## 146 NA NA
## 147 NA NA
## 148 NA NA
## 149 NA NA
## 150 NA NA
## 151 NA NA
## 152 NA NA
## 153 NA NA
## 154 NA NA
## 155 NA NA
## 156 NA NA
## 157 NA NA
## 158 NA NA
## 159 NA NA
## 160 NA NA
## 161 NA NA
## 162 NA NA
## 163 NA NA
## 164 NA NA
## 165 NA NA
## 166 NA NA
## 167 NA NA
## 168 NA NA
## 169 NA NA
## 170 NA NA
## 171 NA NA
## 172 NA NA
## 173 NA NA
## 174 NA NA
## 175 NA NA
## 176 NA NA
## 177 NA NA
## 178 NA NA
## 179 NA NA
## 180 NA NA
## 181 NA NA
## 182 NA 30554
## 183 NA 31354
## 184 NA 31681
## 185 NA 31872
## 186 NA 32807
## 187 NA 33652
## 188 NA 34623
## 189 NA 35636
## 190 NA 36272
## 191 NA 36796
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## 787 45.669 839530710 820076
## 788 43.579 839971477 440767
## 789 42.320 NA NA
## 790 41.560 NA NA
## 791 NA NA NA
## 792 NA NA NA
## 793 NA NA NA
## 794 NA NA NA
## 795 NA NA NA
## total_tests_per_thousand new_tests_per_thousand new_tests_smoothed
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## 7 NA NA NA
## 8 NA NA NA
## 9 NA NA NA
## 10 NA NA NA
## 11 NA NA NA
## 12 NA NA NA
## 13 NA NA NA
## 14 NA NA NA
## 15 NA NA NA
## 16 NA NA NA
## 17 NA NA NA
## 18 NA NA NA
## 19 NA NA NA
## 20 NA NA NA
## 21 NA NA NA
## 22 NA NA NA
## 23 NA NA NA
## 24 NA NA NA
## 25 NA NA NA
## 26 NA NA NA
## 27 NA NA NA
## 28 NA NA NA
## 29 NA NA NA
## 30 NA NA NA
## 31 NA NA NA
## 32 NA NA NA
## 33 NA NA NA
## 34 NA NA NA
## 35 NA NA NA
## 36 NA NA NA
## 37 NA NA NA
## 38 NA NA NA
## 39 NA NA NA
## 40 0.001 0.001 NA
## 41 0.003 0.002 NA
## 42 0.004 0.002 NA
## 43 0.007 0.003 NA
## 44 0.011 0.004 NA
## 45 0.015 0.005 NA
## 46 0.021 0.005 NA
## 47 0.026 0.005 1166
## 48 0.033 0.007 1435
## 49 0.043 0.010 1842
## 50 0.058 0.015 2405
## 51 0.084 0.027 3501
## 52 0.120 0.035 4959
## 53 0.159 0.039 6566
## 54 0.202 0.043 8395
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## 57 0.555 0.151 23651
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## 59 0.966 0.229 40253
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## 66 3.110 0.408 101964
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## 68 3.807 0.331 113715
## 69 4.178 0.371 119967
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## 71 5.065 0.460 130843
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## 90 14.290 0.482 168559
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## 99 20.693 0.886 239249
## 100 21.662 0.969 252002
## 101 22.674 1.012 263026
## 102 23.480 0.806 269993
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## 105 25.841 0.960 286959
## 106 26.922 1.081 296241
## 107 28.012 1.090 301979
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## 109 30.233 1.008 321168
## 110 30.981 0.748 325934
## 111 31.942 0.961 335792
## 112 33.210 1.268 350423
## 113 34.562 1.353 363362
## 114 35.915 1.353 375862
## 115 37.253 1.338 381826
## 116 38.352 1.099 386140
## 117 39.267 0.915 394072
## 118 40.327 1.061 398804
## 119 41.631 1.303 400513
## 120 43.022 1.391 402323
## 121 44.403 1.381 403682
## 122 45.882 1.479 410354
## 123 47.054 1.172 413827
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## 711 2181.405 3.720 1828960
## 712 2185.377 3.973 1880471
## 713 2191.982 6.605 1952066
## 714 2200.642 8.660 2037619
## 715 2210.064 9.422 2156267
## 716 2219.435 9.371 2269778
## 717 2227.996 8.561 2392778
## 718 2234.468 6.472 2523660
## 719 2239.341 4.873 2566477
## 720 2245.560 6.218 2548106
## 721 2253.451 7.891 2511541
## 722 2262.028 8.577 2471377
## 723 2270.919 8.891 2448556
## 724 2279.240 8.321 2437137
## 725 2285.314 6.074 2418219
## 726 2289.369 4.054 2379276
## 727 2294.448 5.079 2325103
## 728 2302.073 7.625 2312449
## 729 2310.803 8.730 2319690
## 730 2319.063 8.260 2289681
## 731 2326.367 7.304 2241341
## 732 2331.529 5.162 2197934
## 733 2334.907 3.378 2165778
## 734 2339.441 4.534 2139833
## 735 2345.109 5.668 2046740
## 736 2351.238 6.129 1923047
## 737 2357.242 6.004 1815755
## 738 2362.787 5.546 1732118
## 739 2366.391 3.603 1658003
## 740 2368.638 2.247 1604217
## 741 2372.345 3.707 1564876
## 742 2377.644 5.299 1547353
## 743 2383.296 5.652 1524687
## 744 2388.080 4.784 1466644
## 745 2392.510 4.430 1413603
## 746 2395.855 3.345 1401301
## 747 2397.736 1.881 1383863
## 748 2401.471 3.736 1385237
## 749 2406.394 4.922 1367305
## 750 2411.061 4.667 1320475
## 751 2415.453 4.392 1301841
## 752 2419.653 4.200 1290898
## 753 2422.306 2.653 1257978
## 754 2423.800 1.494 1239588
## 755 2426.736 2.936 1201572
## 756 2431.403 4.667 1189411
## 757 2436.298 4.895 1200247
## 758 2440.822 4.524 1206530
## 759 2444.903 4.081 1200838
## 760 2447.576 2.673 1201831
## 761 2448.943 1.367 1195793
## 762 2451.075 2.132 1157541
## 763 2454.704 3.629 1108186
## 764 2458.700 3.997 1065440
## 765 2462.377 3.677 1025163
## 766 2465.740 3.363 991033
## 767 2467.829 2.088 963211
## 768 2469.086 1.258 958014
## 769 2471.723 2.636 981991
## 770 2475.513 3.790 989648
## 771 2479.190 3.678 974481
## 772 2482.769 3.579 969825
## 773 2485.936 3.167 960510
## 774 2487.904 1.968 954775
## 775 2488.946 1.041 944492
## 776 2491.271 2.325 929698
## 777 2494.822 3.552 918362
## 778 2498.156 3.334 902023
## 779 2501.118 2.962 872672
## 780 2504.038 2.919 860892
## 781 2505.873 1.835 854586
## 782 2506.901 1.028 853930
## 783 2509.206 2.306 853001
## 784 2512.771 3.564 853605
## 785 2516.205 3.435 858396
## 786 2519.293 3.088 864370
## 787 2521.756 2.463 842681
## 788 2523.080 1.324 818363
## 789 NA NA NA
## 790 NA NA NA
## 791 NA NA NA
## 792 NA NA NA
## 793 NA NA NA
## 794 NA NA NA
## 795 NA NA NA
## new_tests_smoothed_per_thousand positive_rate tests_per_case
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## 7 NA NA NA
## 8 NA NA NA
## 9 NA NA NA
## 10 NA NA NA
## 11 NA NA NA
## 12 NA NA NA
## 13 NA NA NA
## 14 NA NA NA
## 15 NA NA NA
## 16 NA NA NA
## 17 NA NA NA
## 18 NA NA NA
## 19 NA NA NA
## 20 NA NA NA
## 21 NA NA NA
## 22 NA NA NA
## 23 NA NA NA
## 24 NA NA NA
## 25 NA NA NA
## 26 NA NA NA
## 27 NA NA NA
## 28 NA NA NA
## 29 NA NA NA
## 30 NA NA NA
## 31 NA NA NA
## 32 NA NA NA
## 33 NA NA NA
## 34 NA NA NA
## 35 NA NA NA
## 36 NA NA NA
## 37 NA NA NA
## 38 NA NA NA
## 39 NA NA NA
## 40 NA NA NA
## 41 NA NA NA
## 42 NA NA NA
## 43 NA NA NA
## 44 NA NA NA
## 45 NA NA NA
## 46 NA 0.108 9.3
## 47 0.004 0.112 8.9
## 48 0.004 0.110 9.1
## 49 0.006 0.114 8.8
## 50 0.007 0.111 9.0
## 51 0.011 0.104 9.6
## 52 0.015 0.100 10.0
## 53 0.020 0.098 10.2
## 54 0.025 0.097 10.3
## 55 0.036 0.097 10.3
## 56 0.051 0.104 9.6
## 57 0.071 0.111 9.0
## 58 0.093 0.114 8.8
## 59 0.121 0.121 8.3
## 60 0.148 0.129 7.8
## 61 0.173 0.137 7.3
## 62 0.196 0.146 6.8
## 63 0.224 0.154 6.5
## 64 0.251 0.160 6.2
## 65 0.281 0.168 6.0
## 66 0.306 0.174 5.7
## 67 0.326 0.180 5.6
## 68 0.342 0.184 5.4
## 69 0.360 0.188 5.3
## 70 0.377 0.193 5.2
## 71 0.393 0.199 5.0
## 72 0.407 0.204 4.9
## 73 0.421 0.207 4.8
## 74 0.433 0.209 4.8
## 75 0.445 0.210 4.8
## 76 0.453 0.211 4.7
## 77 0.469 0.208 4.8
## 78 0.476 0.206 4.9
## 79 0.481 0.205 4.9
## 80 0.482 0.205 4.9
## 81 0.509 0.200 5.0
## 82 0.498 0.200 5.0
## 83 0.485 0.199 5.0
## 84 0.478 0.198 5.1
## 85 0.479 0.197 5.1
## 86 0.484 0.194 5.2
## 87 0.495 0.188 5.3
## 88 0.477 0.188 5.3
## 89 0.486 0.183 5.5
## 90 0.506 0.178 5.6
## 91 0.532 0.173 5.8
## 92 0.559 0.166 6.0
## 93 0.580 0.161 6.2
## 94 0.606 0.158 6.3
## 95 0.628 0.155 6.5
## 96 0.644 0.154 6.5
## 97 0.673 0.151 6.6
## 98 0.693 0.146 6.8
## 99 0.719 0.143 7.0
## 100 0.757 0.139 7.2
## 101 0.790 0.136 7.4
## 102 0.811 0.132 7.6
## 103 0.830 0.127 7.9
## 104 0.841 0.123 8.1
## 105 0.862 0.121 8.3
## 106 0.890 0.116 8.6
## 107 0.907 0.112 8.9
## 108 0.936 0.106 9.4
## 109 0.965 0.102 9.8
## 110 0.979 0.100 10.0
## 111 1.009 0.096 10.4
## 112 1.053 0.092 10.9
## 113 1.091 0.088 11.4
## 114 1.129 0.085 11.8
## 115 1.147 0.083 12.0
## 116 1.160 0.081 12.3
## 117 1.184 0.081 12.3
## 118 1.198 0.081 12.3
## 119 1.203 0.079 12.7
## 120 1.208 0.078 12.8
## 121 1.213 0.076 13.2
## 122 1.233 0.075 13.3
## 123 1.243 0.073 13.7
## 124 1.261 0.071 14.1
## 125 1.251 0.070 14.3
## 126 1.263 0.070 14.3
## 127 1.302 0.068 14.7
## 128 1.335 0.067 14.9
## 129 1.358 0.066 15.2
## 130 1.385 0.066 15.2
## 131 1.397 0.065 15.4
## 132 1.444 0.064 15.6
## 133 1.470 0.062 16.1
## 134 1.482 0.062 16.1
## 135 1.518 0.061 16.4
## 136 1.529 0.060 16.7
## 137 1.534 0.059 16.9
## 138 1.547 0.058 17.2
## 139 1.552 0.058 17.2
## 140 1.568 0.058 17.2
## 141 1.588 0.058 17.2
## 142 1.587 0.057 17.5
## 143 1.605 0.057 17.5
## 144 1.634 0.058 17.2
## 145 1.637 0.059 16.9
## 146 1.662 0.061 16.4
## 147 1.710 0.063 15.9
## 148 1.743 0.066 15.2
## 149 1.781 0.069 14.5
## 150 1.818 0.072 13.9
## 151 1.841 0.074 13.5
## 152 1.844 0.075 13.3
## 153 1.862 0.077 13.0
## 154 1.874 0.078 12.8
## 155 1.900 0.079 12.7
## 156 1.930 0.080 12.5
## 157 1.975 0.083 12.0
## 158 2.022 0.085 11.8
## 159 2.085 0.086 11.6
## 160 2.135 0.088 11.4
## 161 2.202 0.091 11.0
## 162 2.252 0.094 10.6
## 163 2.290 0.097 10.3
## 164 2.286 0.098 10.2
## 165 2.254 0.100 10.0
## 166 2.238 0.102 9.8
## 167 2.264 0.104 9.6
## 168 2.284 0.105 9.5
## 169 2.325 0.105 9.5
## 170 2.391 0.105 9.5
## 171 2.483 0.105 9.5
## 172 2.578 0.105 9.5
## 173 2.651 0.104 9.6
## 174 2.712 0.104 9.6
## 175 2.755 0.103 9.7
## 176 2.778 0.103 9.7
## 177 2.786 0.101 9.9
## 178 2.799 0.101 9.9
## 179 2.830 0.100 10.0
## 180 2.839 0.098 10.2
## 181 2.856 0.098 10.2
## 182 2.870 0.097 10.3
## 183 2.902 0.096 10.4
## 184 2.925 0.095 10.5
## 185 2.937 0.093 10.8
## 186 2.924 0.093 10.8
## 187 2.907 0.093 10.8
## 188 2.859 0.091 11.0
## 189 2.830 0.089 11.2
## 190 2.801 0.088 11.4
## 191 2.781 0.088 11.4
## 192 2.745 0.086 11.6
## 193 2.707 0.084 11.9
## 194 2.684 0.083 12.0
## 195 2.675 0.082 12.2
## 196 2.639 0.080 12.5
## 197 2.606 0.079 12.7
## 198 2.586 0.076 13.2
## 199 2.597 0.075 13.3
## 200 2.607 0.073 13.7
## 201 2.608 0.073 13.7
## 202 2.611 0.071 14.1
## 203 2.622 0.070 14.3
## 204 2.649 0.068 14.7
## 205 2.644 0.067 14.9
## 206 2.621 0.065 15.4
## 207 2.601 0.064 15.6
## 208 2.577 0.063 15.9
## 209 2.531 0.063 15.9
## 210 2.525 0.061 16.4
## 211 2.515 0.060 16.7
## 212 2.522 0.059 16.9
## 213 2.524 0.058 17.2
## 214 2.535 0.057 17.5
## 215 2.531 0.057 17.5
## 216 2.526 0.056 17.9
## 217 2.531 0.056 17.9
## 218 2.536 0.056 17.9
## 219 2.547 0.056 17.9
## 220 2.556 0.056 17.9
## 221 2.558 0.055 18.2
## 222 2.580 0.055 18.2
## 223 2.578 0.055 18.2
## 224 2.579 0.055 18.2
## 225 2.583 0.054 18.5
## 226 2.588 0.054 18.5
## 227 2.593 0.053 18.9
## 228 2.601 0.052 19.2
## 229 2.580 0.052 19.2
## 230 2.475 0.052 19.2
## 231 2.370 0.051 19.6
## 232 2.341 0.050 20.0
## 233 2.365 0.049 20.4
## 234 2.408 0.047 21.3
## 235 2.429 0.047 21.3
## 236 2.456 0.047 21.3
## 237 2.582 0.046 21.7
## 238 2.712 0.046 21.7
## 239 2.790 0.046 21.7
## 240 2.820 0.046 21.7
## 241 2.875 0.046 21.7
## 242 2.906 0.045 22.2
## 243 2.905 0.045 22.2
## 244 2.923 0.046 21.7
## 245 2.949 0.046 21.7
## 246 2.977 0.046 21.7
## 247 2.997 0.046 21.7
## 248 2.954 0.046 21.7
## 249 2.954 0.047 21.3
## 250 2.943 0.047 21.3
## 251 2.907 0.048 20.8
## 252 2.888 0.048 20.8
## 253 2.886 0.048 20.8
## 254 2.895 0.048 20.8
## 255 2.922 0.048 20.8
## 256 2.938 0.048 20.8
## 257 2.957 0.048 20.8
## 258 3.017 0.048 20.8
## 259 3.121 0.048 20.8
## 260 3.212 0.048 20.8
## 261 3.300 0.048 20.8
## 262 3.390 0.048 20.8
## 263 3.445 0.049 20.4
## 264 3.491 0.050 20.0
## 265 3.492 0.052 19.2
## 266 3.422 0.053 18.9
## 267 3.344 0.055 18.2
## 268 3.289 0.057 17.5
## 269 3.259 0.058 17.2
## 270 3.265 0.058 17.2
## 271 3.274 0.059 16.9
## 272 3.303 0.059 16.9
## 273 3.394 0.060 16.7
## 274 3.501 0.060 16.7
## 275 3.600 0.061 16.4
## 276 3.658 0.063 15.9
## 277 3.685 0.064 15.6
## 278 3.695 0.066 15.2
## 279 3.729 0.067 14.9
## 280 3.755 0.068 14.7
## 281 3.765 0.069 14.5
## 282 3.745 0.071 14.1
## 283 3.761 0.073 13.7
## 284 3.778 0.074 13.5
## 285 3.823 0.075 13.3
## 286 3.850 0.077 13.0
## 287 3.860 0.080 12.5
## 288 3.915 0.083 12.0
## 289 4.005 0.086 11.6
## 290 4.081 0.089 11.2
## 291 4.182 0.091 11.0
## 292 4.230 0.094 10.6
## 293 4.319 0.097 10.3
## 294 4.394 0.100 10.0
## 295 4.462 0.103 9.7
## 296 4.529 0.106 9.4
## 297 4.627 0.108 9.3
## 298 4.688 0.109 9.2
## 299 4.768 0.109 9.2
## 300 4.883 0.108 9.3
## 301 5.040 0.107 9.3
## 302 5.172 0.105 9.5
## 303 5.268 0.104 9.6
## 304 5.373 0.103 9.7
## 305 5.484 0.102 9.8
## 306 5.580 0.100 10.0
## 307 5.658 0.100 10.0
## 308 5.687 0.099 10.1
## 309 5.741 0.099 10.1
## 310 5.497 0.099 10.1
## 311 5.223 0.101 9.9
## 312 5.005 0.104 9.6
## 313 4.889 0.107 9.3
## 314 4.800 0.110 9.1
## 315 4.745 0.113 8.8
## 316 4.690 0.118 8.5
## 317 4.965 0.119 8.4
## 318 5.225 0.120 8.3
## 319 5.373 0.120 8.3
## 320 5.433 0.120 8.3
## 321 5.465 0.119 8.4
## 322 5.496 0.119 8.4
## 323 5.507 0.118 8.5
## 324 5.522 0.117 8.5
## 325 5.495 0.117 8.5
## 326 5.508 0.117 8.5
## 327 5.490 0.118 8.5
## 328 5.470 0.119 8.4
## 329 5.484 0.120 8.3
## 330 5.463 0.119 8.4
## 331 5.408 0.120 8.3
## 332 5.394 0.120 8.3
## 333 5.389 0.120 8.3
## 334 5.401 0.119 8.4
## 335 5.415 0.119 8.4
## 336 5.433 0.118 8.5
## 337 5.520 0.117 8.5
## 338 5.451 0.117 8.5
## 339 5.046 0.119 8.4
## 340 4.739 0.122 8.2
## 341 4.598 0.124 8.1
## 342 4.504 0.128 7.8
## 343 4.460 0.134 7.5
## 344 4.423 0.140 7.1
## 345 4.436 0.146 6.8
## 346 4.513 0.149 6.7
## 347 4.566 0.150 6.7
## 348 4.610 0.150 6.7
## 349 4.653 0.150 6.7
## 350 4.691 0.149 6.7
## 351 4.754 0.147 6.8
## 352 4.899 0.144 6.9
## 353 5.283 0.140 7.1
## 354 5.541 0.137 7.3
## 355 5.592 0.135 7.4
## 356 5.644 0.132 7.6
## 357 5.671 0.128 7.8
## 358 5.577 0.124 8.1
## 359 5.503 0.120 8.3
## 360 5.460 0.117 8.5
## 361 5.407 0.115 8.7
## 362 5.368 0.114 8.8
## 363 5.267 0.112 8.9
## 364 5.173 0.110 9.1
## 365 5.183 0.107 9.3
## 366 5.174 0.104 9.6
## 367 5.126 0.101 9.9
## 368 5.108 0.099 10.1
## 369 5.078 0.098 10.2
## 370 5.055 0.097 10.3
## 371 5.045 0.095 10.5
## 372 5.017 0.092 10.9
## 373 4.953 0.090 11.1
## 374 4.917 0.089 11.2
## 375 4.871 0.087 11.5
## 376 4.847 0.085 11.8
## 377 4.759 0.084 11.9
## 378 4.693 0.082 12.2
## 379 4.608 0.079 12.7
## 380 4.616 0.077 13.0
## 381 4.609 0.075 13.3
## 382 4.561 0.073 13.7
## 383 4.510 0.073 13.7
## 384 4.515 0.071 14.1
## 385 4.541 0.069 14.5
## 386 4.442 0.067 14.9
## 387 4.222 0.066 15.2
## 388 4.041 0.065 15.4
## 389 3.941 0.064 15.6
## 390 3.870 0.062 16.1
## 391 3.764 0.061 16.4
## 392 3.573 0.060 16.7
## 393 3.499 0.058 17.2
## 394 3.497 0.057 17.5
## 395 3.472 0.054 18.5
## 396 3.453 0.053 18.9
## 397 3.462 0.053 18.9
## 398 3.566 0.053 18.9
## 399 3.736 0.051 19.6
## 400 3.831 0.050 20.0
## 401 3.916 0.049 20.4
## 402 3.969 0.049 20.4
## 403 3.976 0.048 20.8
## 404 3.955 0.047 21.3
## 405 3.935 0.046 21.7
## 406 3.920 0.045 22.2
## 407 3.940 0.044 22.7
## 408 3.915 0.043 23.3
## 409 3.894 0.042 23.8
## 410 3.890 0.042 23.8
## 411 3.880 0.042 23.8
## 412 3.873 0.042 23.8
## 413 3.842 0.041 24.4
## 414 3.789 0.041 24.4
## 415 3.765 0.041 24.4
## 416 3.751 0.042 23.8
## 417 3.733 0.042 23.8
## 418 3.720 0.042 23.8
## 419 3.708 0.042 23.8
## 420 3.690 0.043 23.3
## 421 3.691 0.043 23.3
## 422 3.680 0.043 23.3
## 423 3.656 0.044 22.7
## 424 3.640 0.044 22.7
## 425 3.655 0.044 22.7
## 426 3.666 0.044 22.7
## 427 3.679 0.045 22.2
## 428 3.696 0.046 21.7
## 429 3.684 0.047 21.3
## 430 3.697 0.048 20.8
## 431 3.701 0.049 20.4
## 432 3.705 0.050 20.0
## 433 3.719 0.051 19.6
## 434 3.719 0.052 19.2
## 435 3.686 0.053 18.9
## 436 3.684 0.053 18.9
## 437 3.671 0.053 18.9
## 438 3.658 0.054 18.5
## 439 3.633 0.054 18.5
## 440 3.607 0.054 18.5
## 441 3.615 0.054 18.5
## 442 3.651 0.054 18.5
## 443 3.682 0.055 18.2
## 444 3.728 0.054 18.5
## 445 3.745 0.055 18.2
## 446 3.780 0.055 18.2
## 447 3.825 0.055 18.2
## 448 3.850 0.055 18.2
## 449 3.853 0.054 18.5
## 450 3.839 0.054 18.5
## 451 3.840 0.054 18.5
## 452 3.838 0.053 18.9
## 453 3.824 0.052 19.2
## 454 3.809 0.052 19.2
## 455 3.790 0.051 19.6
## 456 3.781 0.050 20.0
## 457 3.787 0.049 20.4
## 458 3.767 0.048 20.8
## 459 3.762 0.047 21.3
## 460 3.752 0.046 21.7
## 461 3.743 0.045 22.2
## 462 3.745 0.044 22.7
## 463 3.713 0.044 22.7
## 464 3.679 0.043 23.3
## 465 3.638 0.043 23.3
## 466 3.600 0.043 23.3
## 467 3.571 0.042 23.8
## 468 3.527 0.042 23.8
## 469 3.462 0.041 24.4
## 470 3.441 0.040 25.0
## 471 3.394 0.039 25.6
## 472 3.335 0.038 26.3
## 473 3.313 0.037 27.0
## 474 3.296 0.036 27.8
## 475 3.281 0.035 28.6
## 476 3.243 0.034 29.4
## 477 3.163 0.034 29.4
## 478 3.114 0.033 30.3
## 479 3.074 0.032 31.2
## 480 3.047 0.031 32.3
## 481 3.034 0.031 32.3
## 482 3.007 0.030 33.3
## 483 2.955 0.030 33.3
## 484 2.884 0.029 34.5
## 485 2.804 0.029 34.5
## 486 2.761 0.028 35.7
## 487 2.727 0.027 37.0
## 488 2.708 0.027 37.0
## 489 2.671 0.027 37.0
## 490 2.611 0.026 38.5
## 491 2.555 0.025 40.0
## 492 2.520 0.025 40.0
## 493 2.457 0.024 41.7
## 494 2.401 0.024 41.7
## 495 2.380 0.023 43.5
## 496 2.210 0.023 43.5
## 497 2.053 0.023 43.5
## 498 2.079 0.022 45.5
## 499 2.105 0.021 47.6
## 500 2.118 0.020 50.0
## 501 2.134 0.020 50.0
## 502 2.138 0.019 52.6
## 503 2.279 0.019 52.6
## 504 2.354 0.018 55.6
## 505 2.250 0.018 55.6
## 506 2.162 0.018 55.6
## 507 2.117 0.018 55.6
## 508 2.092 0.018 55.6
## 509 2.082 0.018 55.6
## 510 2.062 0.017 58.8
## 511 2.038 0.017 58.8
## 512 2.006 0.017 58.8
## 513 1.981 0.017 58.8
## 514 1.950 0.018 55.6
## 515 1.924 0.018 55.6
## 516 1.919 0.018 55.6
## 517 1.908 0.018 55.6
## 518 1.886 0.019 52.6
## 519 1.874 0.019 52.6
## 520 1.861 0.019 52.6
## 521 1.852 0.020 50.0
## 522 1.850 0.020 50.0
## 523 1.853 0.020 50.0
## 524 1.845 0.021 47.6
## 525 1.808 0.022 45.5
## 526 1.771 0.024 41.7
## 527 1.749 0.025 40.0
## 528 1.717 0.026 38.5
## 529 1.697 0.027 37.0
## 530 1.664 0.028 35.7
## 531 1.558 0.029 34.5
## 532 1.513 0.031 32.3
## 533 1.556 0.033 30.3
## 534 1.591 0.035 28.6
## 535 1.619 0.037 27.0
## 536 1.637 0.039 25.6
## 537 1.672 0.041 24.4
## 538 1.793 0.043 23.3
## 539 1.856 0.045 22.2
## 540 1.848 0.048 20.8
## 541 1.867 0.051 19.6
## 542 1.892 0.054 18.5
## 543 1.908 0.056 17.9
## 544 1.932 0.058 17.2
## 545 1.962 0.061 16.4
## 546 2.032 0.064 15.6
## 547 2.104 0.068 14.7
## 548 2.168 0.071 14.1
## 549 2.235 0.074 13.5
## 550 2.290 0.077 13.0
## 551 2.330 0.079 12.7
## 552 2.385 0.083 12.0
## 553 2.442 0.086 11.6
## 554 2.519 0.090 11.1
## 555 2.602 0.093 10.8
## 556 2.674 0.096 10.4
## 557 2.722 0.098 10.2
## 558 2.755 0.099 10.1
## 559 2.833 0.101 9.9
## 560 2.932 0.102 9.8
## 561 3.024 0.103 9.7
## 562 3.141 0.103 9.7
## 563 3.265 0.103 9.7
## 564 3.368 0.103 9.7
## 565 3.431 0.103 9.7
## 566 3.502 0.104 9.6
## 567 3.576 0.104 9.6
## 568 3.667 0.105 9.5
## 569 3.732 0.105 9.5
## 570 3.814 0.105 9.5
## 571 3.867 0.105 9.5
## 572 3.901 0.105 9.5
## 573 3.964 0.105 9.5
## 574 4.036 0.104 9.6
## 575 4.111 0.104 9.6
## 576 4.162 0.103 9.7
## 577 4.168 0.103 9.7
## 578 4.189 0.103 9.7
## 579 4.208 0.103 9.7
## 580 4.225 0.104 9.6
## 581 4.313 0.103 9.7
## 582 4.420 0.102 9.8
## 583 4.553 0.101 9.9
## 584 4.703 0.100 10.0
## 585 4.815 0.099 10.1
## 586 4.877 0.098 10.2
## 587 4.936 0.097 10.3
## 588 5.005 0.096 10.4
## 589 5.041 0.095 10.5
## 590 5.045 0.094 10.6
## 591 5.035 0.093 10.8
## 592 5.002 0.094 10.6
## 593 5.006 0.094 10.6
## 594 4.734 0.093 10.8
## 595 4.490 0.094 10.6
## 596 4.493 0.093 10.8
## 597 4.535 0.092 10.9
## 598 4.621 0.090 11.1
## 599 4.695 0.088 11.4
## 600 4.692 0.088 11.4
## 601 4.979 0.087 11.5
## 602 5.187 0.084 11.9
## 603 5.223 0.082 12.2
## 604 5.200 0.081 12.3
## 605 5.137 0.079 12.7
## 606 5.078 0.079 12.7
## 607 5.067 0.078 12.8
## 608 5.023 0.076 13.2
## 609 5.039 0.074 13.5
## 610 5.013 0.073 13.7
## 611 5.006 0.071 14.1
## 612 5.005 0.069 14.5
## 613 4.988 0.069 14.5
## 614 4.953 0.068 14.7
## 615 4.885 0.067 14.9
## 616 4.863 0.067 14.9
## 617 4.842 0.066 15.2
## 618 4.815 0.065 15.4
## 619 4.776 0.064 15.6
## 620 4.761 0.063 15.9
## 621 4.728 0.063 15.9
## 622 4.747 0.062 16.1
## 623 4.733 0.061 16.4
## 624 4.718 0.060 16.7
## 625 4.704 0.059 16.9
## 626 4.687 0.058 17.2
## 627 4.651 0.058 17.2
## 628 4.618 0.058 17.2
## 629 4.567 0.058 17.2
## 630 4.487 0.057 17.5
## 631 4.436 0.057 17.5
## 632 4.426 0.056 17.9
## 633 4.396 0.055 18.2
## 634 4.378 0.054 18.5
## 635 4.367 0.053 18.9
## 636 4.400 0.052 19.2
## 637 4.426 0.051 19.6
## 638 4.435 0.050 20.0
## 639 4.417 0.050 20.0
## 640 4.373 0.050 20.0
## 641 4.333 0.050 20.0
## 642 4.304 0.050 20.0
## 643 4.272 0.050 20.0
## 644 4.256 0.050 20.0
## 645 4.221 0.050 20.0
## 646 4.158 0.050 20.0
## 647 4.131 0.050 20.0
## 648 4.110 0.050 20.0
## 649 4.102 0.050 20.0
## 650 4.059 0.050 20.0
## 651 4.042 0.051 19.6
## 652 4.081 0.051 19.6
## 653 4.108 0.052 19.2
## 654 4.125 0.052 19.2
## 655 4.150 0.053 18.9
## 656 4.244 0.053 18.9
## 657 4.319 0.053 18.9
## 658 4.410 0.054 18.5
## 659 4.374 0.055 18.2
## 660 4.358 0.056 17.9
## 661 4.308 0.058 17.2
## 662 4.306 0.058 17.2
## 663 4.281 0.059 16.9
## 664 4.287 0.060 16.7
## 665 4.280 0.060 16.7
## 666 4.337 0.061 16.4
## 667 4.404 0.061 16.4
## 668 4.479 0.061 16.4
## 669 4.490 0.062 16.1
## 670 4.483 0.063 15.9
## 671 4.442 0.063 15.9
## 672 4.349 0.065 15.4
## 673 4.224 0.066 15.2
## 674 3.742 0.069 14.5
## 675 3.361 0.072 13.9
## 676 3.262 0.074 13.5
## 677 3.287 0.075 13.3
## 678 3.370 0.076 13.2
## 679 3.473 0.078 12.8
## 680 3.598 0.079 12.7
## 681 4.143 0.076 13.2
## 682 4.638 0.074 13.5
## 683 4.834 0.073 13.7
## 684 4.832 0.074 13.5
## 685 4.800 0.074 13.5
## 686 4.827 0.073 13.7
## 687 4.865 0.072 13.9
## 688 4.812 0.071 14.1
## 689 4.779 0.071 14.1
## 690 4.753 0.071 14.1
## 691 4.749 0.071 14.1
## 692 4.779 0.072 13.9
## 693 4.791 0.074 13.5
## 694 4.821 0.077 13.0
## 695 4.896 0.081 12.3
## 696 4.955 0.085 11.8
## 697 5.029 0.089 11.2
## 698 5.127 0.093 10.8
## 699 5.214 0.099 10.1
## 700 5.311 0.110 9.1
## 701 5.433 0.123 8.1
## 702 5.561 0.135 7.4
## 703 5.470 0.148 6.8
## 704 5.243 0.157 6.4
## 705 5.212 0.165 6.1
## 706 5.278 0.181 5.5
## 707 5.323 0.202 5.0
## 708 5.291 0.225 4.4
## 709 5.270 0.246 4.1
## 710 5.366 0.260 3.8
## 711 5.494 0.268 3.7
## 712 5.649 0.274 3.6
## 713 5.864 0.281 3.6
## 714 6.121 0.288 3.5
## 715 6.477 0.292 3.4
## 716 6.818 0.294 3.4
## 717 7.187 0.295 3.4
## 718 7.580 0.294 3.4
## 719 7.709 0.293 3.4
## 720 7.654 0.292 3.4
## 721 7.544 0.290 3.4
## 722 7.423 0.286 3.5
## 723 7.355 0.282 3.5
## 724 7.321 0.278 3.6
## 725 7.264 0.275 3.6
## 726 7.147 0.274 3.6
## 727 6.984 0.273 3.7
## 728 6.946 0.271 3.7
## 729 6.968 0.267 3.7
## 730 6.878 0.263 3.8
## 731 6.732 0.260 3.8
## 732 6.602 0.258 3.9
## 733 6.505 0.256 3.9
## 734 6.428 0.250 4.0
## 735 6.148 0.243 4.1
## 736 5.776 0.235 4.3
## 737 5.454 0.226 4.4
## 738 5.203 0.217 4.6
## 739 4.980 0.211 4.7
## 740 4.819 0.205 4.9
## 741 4.701 0.197 5.1
## 742 4.648 0.185 5.4
## 743 4.580 0.172 5.8
## 744 4.405 0.163 6.1
## 745 4.246 0.152 6.6
## 746 4.209 0.144 6.9
## 747 4.157 0.140 7.1
## 748 4.161 0.131 7.6
## 749 4.107 0.122 8.2
## 750 3.966 0.114 8.8
## 751 3.910 0.106 9.4
## 752 3.878 0.099 10.1
## 753 3.779 0.094 10.6
## 754 3.723 0.090 11.1
## 755 3.609 0.084 11.9
## 756 3.573 0.077 13.0
## 757 3.605 0.072 13.9
## 758 3.624 0.067 14.9
## 759 3.607 0.062 16.1
## 760 3.610 0.059 16.9
## 761 3.592 0.057 17.5
## 762 3.477 0.055 18.2
## 763 3.329 0.053 18.9
## 764 3.200 0.050 20.0
## 765 3.079 0.047 21.3
## 766 2.977 0.045 22.2
## 767 2.893 0.043 23.3
## 768 2.878 0.042 23.8
## 769 2.950 0.039 25.6
## 770 2.973 0.037 27.0
## 771 2.927 0.035 28.6
## 772 2.913 0.033 30.3
## 773 2.885 0.031 32.3
## 774 2.868 0.030 33.3
## 775 2.837 0.029 34.5
## 776 2.793 0.028 35.7
## 777 2.759 0.027 37.0
## 778 2.709 0.025 40.0
## 779 2.621 0.025 40.0
## 780 2.586 0.024 41.7
## 781 2.567 0.023 43.5
## 782 2.565 0.022 45.5
## 783 2.562 0.022 45.5
## 784 2.564 0.022 45.5
## 785 2.578 0.021 47.6
## 786 2.596 0.021 47.6
## 787 2.531 0.021 47.6
## 788 2.458 0.022 45.5
## 789 NA NA NA
## 790 NA NA NA
## 791 NA NA NA
## 792 NA NA NA
## 793 NA NA NA
## 794 NA NA NA
## 795 NA NA NA
## tests_units total_vaccinations people_vaccinated
## 1 NA NA
## 2 NA NA
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## 4 NA NA
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## 492 tests performed 309717535 171769048
## 493 tests performed 311043770 172372641
## 494 tests performed 311807388 172753437
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## 644 66.34 58.73
## 645 66.44 58.79
## 646 66.53 58.85
## 647 66.63 58.93
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## 649 66.71 58.98
## 650 66.79 59.04
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## 652 66.97 59.16
## 653 67.08 59.21
## 654 67.22 59.28
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## 657 67.54 59.39
## 658 67.70 59.44
## 659 67.87 59.49
## 660 68.04 59.54
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## 662 68.39 59.63
## 663 68.47 59.65
## 664 68.60 59.70
## 665 68.75 59.75
## 666 68.90 59.80
## 667 69.06 59.85
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## 669 69.37 59.94
## 670 69.43 59.96
## 671 69.58 60.01
## 672 69.73 60.06
## 673 69.85 60.11
## 674 69.85 60.11
## 675 69.95 60.16
## 676 70.01 60.22
## 677 70.06 60.27
## 678 70.16 60.38
## 679 70.29 60.49
## 680 70.42 60.62
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## 682 70.71 60.88
## 683 70.80 61.02
## 684 70.85 61.07
## 685 70.96 61.17
## 686 71.09 61.28
## 687 71.21 61.38
## 688 71.33 61.48
## 689 71.46 61.60
## 690 71.54 61.70
## 691 71.58 61.74
## 692 71.69 61.83
## 693 71.80 61.91
## 694 71.91 61.99
## 695 72.03 62.04
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## 704 72.85 62.47
## 705 72.89 62.50
## 706 73.01 62.57
## 707 73.14 62.64
## 708 73.27 62.71
## 709 73.39 62.78
## 710 73.44 62.80
## 711 73.45 62.81
## 712 73.49 62.84
## 713 73.60 62.89
## 714 73.71 62.96
## 715 73.82 63.02
## 716 73.94 63.09
## 717 74.06 63.16
## 718 74.14 63.21
## 719 74.18 63.23
## 720 74.28 63.29
## 721 74.38 63.35
## 722 74.49 63.41
## 723 74.59 63.47
## 724 74.70 63.52
## 725 74.77 63.55
## 726 74.80 63.56
## 727 74.87 63.60
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## 729 75.02 63.72
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## 732 75.23 63.84
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## 734 75.32 63.91
## 735 75.38 63.96
## 736 75.44 64.01
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## 739 75.61 64.16
## 740 75.63 64.18
## 741 75.68 64.23
## 742 75.73 64.28
## 743 75.77 64.32
## 744 75.81 64.36
## 745 75.85 64.42
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## 747 75.91 64.47
## 748 75.94 64.51
## 749 75.98 64.56
## 750 76.02 64.60
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## 754 76.15 64.74
## 755 76.17 64.76
## 756 76.20 64.80
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## 760 76.32 64.93
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## 765 76.44 65.05
## 766 76.47 65.08
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## 770 76.54 65.15
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## 775 76.63 65.24
## 776 76.64 65.25
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## 781 76.72 65.34
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## 790 76.84 65.44
## 791 76.85 65.45
## 792 76.86 65.47
## 793 76.87 65.47
## 794 76.87 65.47
## 795 NA NA
## total_boosters_per_hundred new_vaccinations_smoothed_per_million
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA NA
## 7 NA NA
## 8 NA NA
## 9 NA NA
## 10 NA NA
## 11 NA NA
## 12 NA NA
## 13 NA NA
## 14 NA NA
## 15 NA NA
## 16 NA NA
## 17 NA NA
## 18 NA NA
## 19 NA NA
## 20 NA NA
## 21 NA NA
## 22 NA NA
## 23 NA NA
## 24 NA NA
## 25 NA NA
## 26 NA NA
## 27 NA NA
## 28 NA NA
## 29 NA NA
## 30 NA NA
## 31 NA NA
## 32 NA NA
## 33 NA NA
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## 463 NA 7879
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## 465 NA 7521
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## 469 NA 6968
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## 471 NA 6512
## 472 NA 6340
## 473 NA 6207
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## 481 NA 5658
## 482 NA 5751
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## 486 NA 5513
## 487 NA 5343
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## 493 NA 3854
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## 555 NA 1830
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## 558 NA 1919
## 559 NA 1952
## 560 NA 1978
## 561 NA 2003
## 562 NA 2034
## 563 NA 2065
## 564 NA 2084
## 565 NA 2094
## 566 NA 2121
## 567 NA 2137
## 568 NA 2133
## 569 NA 2138
## 570 0.00 2155
## 571 0.02 2184
## 572 0.03 2205
## 573 0.05 2242
## 574 0.08 2296
## 575 0.11 2375
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## 577 0.18 2504
## 578 0.20 2522
## 579 0.21 2517
## 580 0.24 2539
## 581 0.27 2550
## 582 0.30 2556
## 583 0.34 2576
## 584 0.37 2603
## 585 0.39 2623
## 586 0.40 2641
## 587 0.43 2643
## 588 0.47 2633
## 589 0.50 2620
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## 591 0.57 2523
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## 593 0.60 2430
## 594 0.60 2109
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## 599 0.73 2051
## 600 0.74 2044
## 601 0.76 2303
## 602 0.79 2235
## 603 0.81 2199
## 604 0.83 2162
## 605 0.86 2105
## 606 0.87 2072
## 607 0.88 2053
## 608 0.91 2012
## 609 0.93 1980
## 610 0.96 1938
## 611 0.99 1901
## 612 1.07 1935
## 613 1.14 1999
## 614 1.18 2043
## 615 1.34 2187
## 616 1.50 2381
## 617 1.66 2582
## 618 1.83 2789
## 619 2.02 2926
## 620 2.09 2908
## 621 2.13 2890
## 622 2.28 2869
## 623 2.43 2819
## 624 2.59 2773
## 625 2.74 2710
## 626 2.91 2639
## 627 2.98 2599
## 628 3.01 2576
## 629 3.14 2522
## 630 3.28 2484
## 631 3.41 2430
## 632 3.55 2386
## 633 3.71 2347
## 634 3.77 2328
## 635 3.80 2309
## 636 3.92 2298
## 637 4.05 2254
## 638 4.19 2225
## 639 4.32 2201
## 640 4.58 2341
## 641 4.73 2484
## 642 4.82 2571
## 643 5.12 2867
## 644 5.44 3182
## 645 5.77 3517
## 646 6.10 3838
## 647 6.47 4012
## 648 6.63 4008
## 649 6.71 3993
## 650 7.01 3964
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## 652 7.63 3914
## 653 7.96 3927
## 654 8.33 3981
## 655 8.49 4073
## 656 8.57 4123
## 657 8.82 4125
## 658 9.10 4183
## 659 9.41 4271
## 660 9.68 4256
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## 662 10.18 4352
## 663 10.27 4362
## 664 10.54 4400
## 665 10.85 4419
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## 667 11.51 4494
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## 670 12.21 4581
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## 672 12.90 4738
## 673 13.14 4578
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## 691 17.82 4934
## 692 18.12 4843
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## 695 19.09 4571
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## 723 25.00 3525
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## 729 25.92 2844
## 730 26.07 2694
## 731 26.26 2526
## 732 26.36 2453
## 733 26.41 2428
## 734 26.54 2412
## 735 26.66 2329
## 736 26.78 2249
## 737 26.90 2188
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## 739 27.11 2074
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## 747 27.64 1523
## 748 27.71 1461
## 749 27.77 1416
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## 751 27.90 1387
## 752 27.99 1373
## 753 28.03 1335
## 754 28.05 1310
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## 762 28.42 1042
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## 784 29.09 529
## 785 29.11 525
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## 787 29.17 511
## 788 29.19 510
## 789 29.20 509
## 790 29.22 502
## 791 29.24 487
## 792 29.26 472
## 793 29.28 440
## 794 29.28 348
## 795 NA NA
## new_people_vaccinated_smoothed new_people_vaccinated_smoothed_per_hundred
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA NA
## 7 NA NA
## 8 NA NA
## 9 NA NA
## 10 NA NA
## 11 NA NA
## 12 NA NA
## 13 NA NA
## 14 NA NA
## 15 NA NA
## 16 NA NA
## 17 NA NA
## 18 NA NA
## 19 NA NA
## 20 NA NA
## 21 NA NA
## 22 NA NA
## 23 NA NA
## 24 NA NA
## 25 NA NA
## 26 NA NA
## 27 NA NA
## 28 NA NA
## 29 NA NA
## 30 NA NA
## 31 NA NA
## 32 NA NA
## 33 NA NA
## 34 NA NA
## 35 NA NA
## 36 NA NA
## 37 NA NA
## 38 NA NA
## 39 NA NA
## 40 NA NA
## 41 NA NA
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## 43 NA NA
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## 72 NA NA
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## 75 NA NA
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## 95 NA NA
## 96 NA NA
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## 99 NA NA
## 100 NA NA
## 101 NA NA
## 102 NA NA
## 103 NA NA
## 104 NA NA
## 105 NA NA
## 106 NA NA
## 107 NA NA
## 108 NA NA
## 109 NA NA
## 110 NA NA
## 111 NA NA
## 112 NA NA
## 113 NA NA
## 114 NA NA
## 115 NA NA
## 116 NA NA
## 117 NA NA
## 118 NA NA
## 119 NA NA
## 120 NA NA
## 121 NA NA
## 122 NA NA
## 123 NA NA
## 124 NA NA
## 125 NA NA
## 126 NA NA
## 127 NA NA
## 128 NA NA
## 129 NA NA
## 130 NA NA
## 131 NA NA
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## 142 NA NA
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## 150 NA NA
## 151 NA NA
## 152 NA NA
## 153 NA NA
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## 159 NA NA
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## 188 NA NA
## 189 NA NA
## 190 NA NA
## 191 NA NA
## 192 NA NA
## 193 NA NA
## 194 NA NA
## 195 NA NA
## 196 NA NA
## 197 NA NA
## 198 NA NA
## 199 NA NA
## 200 NA NA
## 201 NA NA
## 202 NA NA
## 203 NA NA
## 204 NA NA
## 205 NA NA
## 206 NA NA
## 207 NA NA
## 208 NA NA
## 209 NA NA
## 210 NA NA
## 211 NA NA
## 212 NA NA
## 213 NA NA
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## 217 NA NA
## 218 NA NA
## 219 NA NA
## 220 NA NA
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## 794 31229 0.009
## 795 NA NA
## stringency_index population population_density median_age aged_65_older
## 1 0.00 332915074 35.608 38.3 15.413
## 2 0.00 332915074 35.608 38.3 15.413
## 3 0.00 332915074 35.608 38.3 15.413
## 4 0.00 332915074 35.608 38.3 15.413
## 5 0.00 332915074 35.608 38.3 15.413
## 6 0.00 332915074 35.608 38.3 15.413
## 7 0.00 332915074 35.608 38.3 15.413
## 8 0.00 332915074 35.608 38.3 15.413
## 9 0.00 332915074 35.608 38.3 15.413
## 10 0.00 332915074 35.608 38.3 15.413
## 11 0.00 332915074 35.608 38.3 15.413
## 12 5.56 332915074 35.608 38.3 15.413
## 13 5.56 332915074 35.608 38.3 15.413
## 14 5.56 332915074 35.608 38.3 15.413
## 15 5.56 332915074 35.608 38.3 15.413
## 16 5.56 332915074 35.608 38.3 15.413
## 17 5.56 332915074 35.608 38.3 15.413
## 18 5.56 332915074 35.608 38.3 15.413
## 19 5.56 332915074 35.608 38.3 15.413
## 20 5.56 332915074 35.608 38.3 15.413
## 21 5.56 332915074 35.608 38.3 15.413
## 22 5.56 332915074 35.608 38.3 15.413
## 23 5.56 332915074 35.608 38.3 15.413
## 24 5.56 332915074 35.608 38.3 15.413
## 25 5.56 332915074 35.608 38.3 15.413
## 26 5.56 332915074 35.608 38.3 15.413
## 27 5.56 332915074 35.608 38.3 15.413
## 28 5.56 332915074 35.608 38.3 15.413
## 29 5.56 332915074 35.608 38.3 15.413
## 30 5.56 332915074 35.608 38.3 15.413
## 31 5.56 332915074 35.608 38.3 15.413
## 32 5.56 332915074 35.608 38.3 15.413
## 33 5.56 332915074 35.608 38.3 15.413
## 34 5.56 332915074 35.608 38.3 15.413
## 35 5.56 332915074 35.608 38.3 15.413
## 36 5.56 332915074 35.608 38.3 15.413
## 37 5.56 332915074 35.608 38.3 15.413
## 38 5.56 332915074 35.608 38.3 15.413
## 39 5.56 332915074 35.608 38.3 15.413
## 40 8.33 332915074 35.608 38.3 15.413
## 41 11.11 332915074 35.608 38.3 15.413
## 42 11.11 332915074 35.608 38.3 15.413
## 43 11.11 332915074 35.608 38.3 15.413
## 44 20.37 332915074 35.608 38.3 15.413
## 45 20.37 332915074 35.608 38.3 15.413
## 46 20.37 332915074 35.608 38.3 15.413
## 47 20.37 332915074 35.608 38.3 15.413
## 48 20.37 332915074 35.608 38.3 15.413
## 49 20.37 332915074 35.608 38.3 15.413
## 50 21.76 332915074 35.608 38.3 15.413
## 51 30.09 332915074 35.608 38.3 15.413
## 52 30.09 332915074 35.608 38.3 15.413
## 53 35.65 332915074 35.608 38.3 15.413
## 54 41.20 332915074 35.608 38.3 15.413
## 55 52.31 332915074 35.608 38.3 15.413
## 56 55.09 332915074 35.608 38.3 15.413
## 57 55.09 332915074 35.608 38.3 15.413
## 58 67.13 332915074 35.608 38.3 15.413
## 59 67.13 332915074 35.608 38.3 15.413
## 60 72.69 332915074 35.608 38.3 15.413
## 61 72.69 332915074 35.608 38.3 15.413
## 62 72.69 332915074 35.608 38.3 15.413
## 63 72.69 332915074 35.608 38.3 15.413
## 64 72.69 332915074 35.608 38.3 15.413
## 65 72.69 332915074 35.608 38.3 15.413
## 66 72.69 332915074 35.608 38.3 15.413
## 67 72.69 332915074 35.608 38.3 15.413
## 68 72.69 332915074 35.608 38.3 15.413
## 69 72.69 332915074 35.608 38.3 15.413
## 70 72.69 332915074 35.608 38.3 15.413
## 71 72.69 332915074 35.608 38.3 15.413
## 72 72.69 332915074 35.608 38.3 15.413
## 73 72.69 332915074 35.608 38.3 15.413
## 74 72.69 332915074 35.608 38.3 15.413
## 75 72.69 332915074 35.608 38.3 15.413
## 76 72.69 332915074 35.608 38.3 15.413
## 77 72.69 332915074 35.608 38.3 15.413
## 78 72.69 332915074 35.608 38.3 15.413
## 79 72.69 332915074 35.608 38.3 15.413
## 80 72.69 332915074 35.608 38.3 15.413
## 81 72.69 332915074 35.608 38.3 15.413
## 82 72.69 332915074 35.608 38.3 15.413
## 83 72.69 332915074 35.608 38.3 15.413
## 84 72.69 332915074 35.608 38.3 15.413
## 85 72.69 332915074 35.608 38.3 15.413
## 86 72.69 332915074 35.608 38.3 15.413
## 87 72.69 332915074 35.608 38.3 15.413
## 88 72.69 332915074 35.608 38.3 15.413
## 89 72.69 332915074 35.608 38.3 15.413
## 90 72.69 332915074 35.608 38.3 15.413
## 91 72.69 332915074 35.608 38.3 15.413
## 92 72.69 332915074 35.608 38.3 15.413
## 93 72.69 332915074 35.608 38.3 15.413
## 94 72.69 332915074 35.608 38.3 15.413
## 95 72.69 332915074 35.608 38.3 15.413
## 96 72.69 332915074 35.608 38.3 15.413
## 97 72.69 332915074 35.608 38.3 15.413
## 98 72.69 332915074 35.608 38.3 15.413
## 99 72.69 332915074 35.608 38.3 15.413
## 100 72.69 332915074 35.608 38.3 15.413
## 101 72.69 332915074 35.608 38.3 15.413
## 102 72.69 332915074 35.608 38.3 15.413
## 103 72.69 332915074 35.608 38.3 15.413
## 104 72.69 332915074 35.608 38.3 15.413
## 105 72.69 332915074 35.608 38.3 15.413
## 106 72.69 332915074 35.608 38.3 15.413
## 107 72.69 332915074 35.608 38.3 15.413
## 108 72.69 332915074 35.608 38.3 15.413
## 109 72.69 332915074 35.608 38.3 15.413
## 110 72.69 332915074 35.608 38.3 15.413
## 111 72.69 332915074 35.608 38.3 15.413
## 112 72.69 332915074 35.608 38.3 15.413
## 113 72.69 332915074 35.608 38.3 15.413
## 114 72.69 332915074 35.608 38.3 15.413
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## 122 72.69 332915074 35.608 38.3 15.413
## 123 72.69 332915074 35.608 38.3 15.413
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## 125 72.69 332915074 35.608 38.3 15.413
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## 140 72.69 332915074 35.608 38.3 15.413
## 141 72.69 332915074 35.608 38.3 15.413
## 142 72.69 332915074 35.608 38.3 15.413
## 143 72.69 332915074 35.608 38.3 15.413
## 144 72.69 332915074 35.608 38.3 15.413
## 145 72.69 332915074 35.608 38.3 15.413
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## 147 68.98 332915074 35.608 38.3 15.413
## 148 68.98 332915074 35.608 38.3 15.413
## 149 68.98 332915074 35.608 38.3 15.413
## 150 68.98 332915074 35.608 38.3 15.413
## 151 68.98 332915074 35.608 38.3 15.413
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## 153 68.98 332915074 35.608 38.3 15.413
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## 164 68.98 332915074 35.608 38.3 15.413
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## 168 68.98 332915074 35.608 38.3 15.413
## 169 68.98 332915074 35.608 38.3 15.413
## 170 68.98 332915074 35.608 38.3 15.413
## 171 68.98 332915074 35.608 38.3 15.413
## 172 68.98 332915074 35.608 38.3 15.413
## 173 68.98 332915074 35.608 38.3 15.413
## 174 68.98 332915074 35.608 38.3 15.413
## 175 68.98 332915074 35.608 38.3 15.413
## 176 68.98 332915074 35.608 38.3 15.413
## 177 68.98 332915074 35.608 38.3 15.413
## 178 68.98 332915074 35.608 38.3 15.413
## 179 68.98 332915074 35.608 38.3 15.413
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## 200 67.13 332915074 35.608 38.3 15.413
## 201 67.13 332915074 35.608 38.3 15.413
## 202 67.13 332915074 35.608 38.3 15.413
## 203 67.13 332915074 35.608 38.3 15.413
## 204 67.13 332915074 35.608 38.3 15.413
## 205 67.13 332915074 35.608 38.3 15.413
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## 210 67.13 332915074 35.608 38.3 15.413
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## 213 67.13 332915074 35.608 38.3 15.413
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## 219 67.13 332915074 35.608 38.3 15.413
## 220 67.13 332915074 35.608 38.3 15.413
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## 223 67.13 332915074 35.608 38.3 15.413
## 224 67.13 332915074 35.608 38.3 15.413
## 225 67.13 332915074 35.608 38.3 15.413
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## 227 67.13 332915074 35.608 38.3 15.413
## 228 67.13 332915074 35.608 38.3 15.413
## 229 67.13 332915074 35.608 38.3 15.413
## 230 67.13 332915074 35.608 38.3 15.413
## 231 67.13 332915074 35.608 38.3 15.413
## 232 67.13 332915074 35.608 38.3 15.413
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## 240 62.50 332915074 35.608 38.3 15.413
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## 243 62.50 332915074 35.608 38.3 15.413
## 244 62.50 332915074 35.608 38.3 15.413
## 245 62.50 332915074 35.608 38.3 15.413
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## 249 62.50 332915074 35.608 38.3 15.413
## 250 62.50 332915074 35.608 38.3 15.413
## 251 62.50 332915074 35.608 38.3 15.413
## 252 62.50 332915074 35.608 38.3 15.413
## 253 62.50 332915074 35.608 38.3 15.413
## 254 62.50 332915074 35.608 38.3 15.413
## 255 62.50 332915074 35.608 38.3 15.413
## 256 62.50 332915074 35.608 38.3 15.413
## 257 62.50 332915074 35.608 38.3 15.413
## 258 62.50 332915074 35.608 38.3 15.413
## 259 62.50 332915074 35.608 38.3 15.413
## 260 62.50 332915074 35.608 38.3 15.413
## 261 62.50 332915074 35.608 38.3 15.413
## 262 62.50 332915074 35.608 38.3 15.413
## 263 62.50 332915074 35.608 38.3 15.413
## 264 62.50 332915074 35.608 38.3 15.413
## 265 62.50 332915074 35.608 38.3 15.413
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## 267 66.20 332915074 35.608 38.3 15.413
## 268 66.20 332915074 35.608 38.3 15.413
## 269 66.20 332915074 35.608 38.3 15.413
## 270 66.20 332915074 35.608 38.3 15.413
## 271 66.20 332915074 35.608 38.3 15.413
## 272 66.20 332915074 35.608 38.3 15.413
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## 276 66.20 332915074 35.608 38.3 15.413
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## 280 62.50 332915074 35.608 38.3 15.413
## 281 62.50 332915074 35.608 38.3 15.413
## 282 62.50 332915074 35.608 38.3 15.413
## 283 62.50 332915074 35.608 38.3 15.413
## 284 62.50 332915074 35.608 38.3 15.413
## 285 62.50 332915074 35.608 38.3 15.413
## 286 62.50 332915074 35.608 38.3 15.413
## 287 62.50 332915074 35.608 38.3 15.413
## 288 62.50 332915074 35.608 38.3 15.413
## 289 62.50 332915074 35.608 38.3 15.413
## 290 62.50 332915074 35.608 38.3 15.413
## 291 62.50 332915074 35.608 38.3 15.413
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## 295 65.28 332915074 35.608 38.3 15.413
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## 304 75.46 332915074 35.608 38.3 15.413
## 305 75.46 332915074 35.608 38.3 15.413
## 306 75.46 332915074 35.608 38.3 15.413
## 307 75.46 332915074 35.608 38.3 15.413
## 308 75.46 332915074 35.608 38.3 15.413
## 309 75.46 332915074 35.608 38.3 15.413
## 310 75.46 332915074 35.608 38.3 15.413
## 311 75.46 332915074 35.608 38.3 15.413
## 312 75.46 332915074 35.608 38.3 15.413
## 313 75.46 332915074 35.608 38.3 15.413
## 314 75.46 332915074 35.608 38.3 15.413
## 315 75.46 332915074 35.608 38.3 15.413
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## 317 71.76 332915074 35.608 38.3 15.413
## 318 71.76 332915074 35.608 38.3 15.413
## 319 71.76 332915074 35.608 38.3 15.413
## 320 71.76 332915074 35.608 38.3 15.413
## 321 71.76 332915074 35.608 38.3 15.413
## 322 71.76 332915074 35.608 38.3 15.413
## 323 71.76 332915074 35.608 38.3 15.413
## 324 71.76 332915074 35.608 38.3 15.413
## 325 71.76 332915074 35.608 38.3 15.413
## 326 71.76 332915074 35.608 38.3 15.413
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## 330 71.76 332915074 35.608 38.3 15.413
## 331 71.76 332915074 35.608 38.3 15.413
## 332 71.76 332915074 35.608 38.3 15.413
## 333 71.76 332915074 35.608 38.3 15.413
## 334 71.76 332915074 35.608 38.3 15.413
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## 336 71.76 332915074 35.608 38.3 15.413
## 337 71.76 332915074 35.608 38.3 15.413
## 338 71.76 332915074 35.608 38.3 15.413
## 339 71.76 332915074 35.608 38.3 15.413
## 340 71.76 332915074 35.608 38.3 15.413
## 341 71.76 332915074 35.608 38.3 15.413
## 342 71.76 332915074 35.608 38.3 15.413
## 343 71.76 332915074 35.608 38.3 15.413
## 344 71.76 332915074 35.608 38.3 15.413
## 345 71.76 332915074 35.608 38.3 15.413
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## 347 71.76 332915074 35.608 38.3 15.413
## 348 71.76 332915074 35.608 38.3 15.413
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## 359 71.76 332915074 35.608 38.3 15.413
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## 370 71.76 332915074 35.608 38.3 15.413
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## 373 71.76 332915074 35.608 38.3 15.413
## 374 71.76 332915074 35.608 38.3 15.413
## 375 71.76 332915074 35.608 38.3 15.413
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## 420 64.35 332915074 35.608 38.3 15.413
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## 422 64.35 332915074 35.608 38.3 15.413
## 423 64.35 332915074 35.608 38.3 15.413
## 424 64.35 332915074 35.608 38.3 15.413
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## 430 61.57 332915074 35.608 38.3 15.413
## 431 61.57 332915074 35.608 38.3 15.413
## 432 61.57 332915074 35.608 38.3 15.413
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## 436 56.94 332915074 35.608 38.3 15.413
## 437 56.94 332915074 35.608 38.3 15.413
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## 439 56.94 332915074 35.608 38.3 15.413
## 440 56.94 332915074 35.608 38.3 15.413
## 441 56.94 332915074 35.608 38.3 15.413
## 442 56.94 332915074 35.608 38.3 15.413
## 443 56.94 332915074 35.608 38.3 15.413
## 444 56.94 332915074 35.608 38.3 15.413
## 445 56.94 332915074 35.608 38.3 15.413
## 446 56.94 332915074 35.608 38.3 15.413
## 447 56.94 332915074 35.608 38.3 15.413
## 448 56.94 332915074 35.608 38.3 15.413
## 449 56.94 332915074 35.608 38.3 15.413
## 450 56.94 332915074 35.608 38.3 15.413
## 451 56.94 332915074 35.608 38.3 15.413
## 452 56.94 332915074 35.608 38.3 15.413
## 453 56.94 332915074 35.608 38.3 15.413
## 454 56.94 332915074 35.608 38.3 15.413
## 455 56.94 332915074 35.608 38.3 15.413
## 456 56.94 332915074 35.608 38.3 15.413
## 457 56.94 332915074 35.608 38.3 15.413
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## 459 56.94 332915074 35.608 38.3 15.413
## 460 56.94 332915074 35.608 38.3 15.413
## 461 56.94 332915074 35.608 38.3 15.413
## 462 56.94 332915074 35.608 38.3 15.413
## 463 56.94 332915074 35.608 38.3 15.413
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## 467 56.94 332915074 35.608 38.3 15.413
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## 469 56.94 332915074 35.608 38.3 15.413
## 470 56.94 332915074 35.608 38.3 15.413
## 471 56.94 332915074 35.608 38.3 15.413
## 472 56.94 332915074 35.608 38.3 15.413
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## 477 52.31 332915074 35.608 38.3 15.413
## 478 52.31 332915074 35.608 38.3 15.413
## 479 52.31 332915074 35.608 38.3 15.413
## 480 52.31 332915074 35.608 38.3 15.413
## 481 52.31 332915074 35.608 38.3 15.413
## 482 52.31 332915074 35.608 38.3 15.413
## 483 52.31 332915074 35.608 38.3 15.413
## 484 52.31 332915074 35.608 38.3 15.413
## 485 52.31 332915074 35.608 38.3 15.413
## 486 52.31 332915074 35.608 38.3 15.413
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## 489 46.76 332915074 35.608 38.3 15.413
## 490 46.76 332915074 35.608 38.3 15.413
## 491 46.76 332915074 35.608 38.3 15.413
## 492 46.76 332915074 35.608 38.3 15.413
## 493 46.76 332915074 35.608 38.3 15.413
## 494 46.76 332915074 35.608 38.3 15.413
## 495 46.76 332915074 35.608 38.3 15.413
## 496 46.76 332915074 35.608 38.3 15.413
## 497 46.76 332915074 35.608 38.3 15.413
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## 500 46.76 332915074 35.608 38.3 15.413
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## 503 46.76 332915074 35.608 38.3 15.413
## 504 46.76 332915074 35.608 38.3 15.413
## 505 46.76 332915074 35.608 38.3 15.413
## 506 46.76 332915074 35.608 38.3 15.413
## 507 46.76 332915074 35.608 38.3 15.413
## 508 46.76 332915074 35.608 38.3 15.413
## 509 46.76 332915074 35.608 38.3 15.413
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## 511 58.80 332915074 35.608 38.3 15.413
## 512 58.80 332915074 35.608 38.3 15.413
## 513 58.80 332915074 35.608 38.3 15.413
## 514 58.80 332915074 35.608 38.3 15.413
## 515 58.80 332915074 35.608 38.3 15.413
## 516 58.80 332915074 35.608 38.3 15.413
## 517 61.57 332915074 35.608 38.3 15.413
## 518 61.57 332915074 35.608 38.3 15.413
## 519 61.57 332915074 35.608 38.3 15.413
## 520 61.57 332915074 35.608 38.3 15.413
## 521 61.57 332915074 35.608 38.3 15.413
## 522 61.57 332915074 35.608 38.3 15.413
## 523 61.57 332915074 35.608 38.3 15.413
## 524 61.57 332915074 35.608 38.3 15.413
## 525 61.57 332915074 35.608 38.3 15.413
## 526 61.57 332915074 35.608 38.3 15.413
## 527 61.57 332915074 35.608 38.3 15.413
## 528 61.57 332915074 35.608 38.3 15.413
## 529 61.57 332915074 35.608 38.3 15.413
## 530 61.57 332915074 35.608 38.3 15.413
## 531 61.57 332915074 35.608 38.3 15.413
## 532 61.57 332915074 35.608 38.3 15.413
## 533 61.57 332915074 35.608 38.3 15.413
## 534 49.54 332915074 35.608 38.3 15.413
## 535 49.54 332915074 35.608 38.3 15.413
## 536 49.54 332915074 35.608 38.3 15.413
## 537 49.54 332915074 35.608 38.3 15.413
## 538 49.54 332915074 35.608 38.3 15.413
## 539 49.54 332915074 35.608 38.3 15.413
## 540 49.54 332915074 35.608 38.3 15.413
## 541 49.54 332915074 35.608 38.3 15.413
## 542 49.54 332915074 35.608 38.3 15.413
## 543 49.54 332915074 35.608 38.3 15.413
## 544 49.54 332915074 35.608 38.3 15.413
## 545 49.54 332915074 35.608 38.3 15.413
## 546 49.54 332915074 35.608 38.3 15.413
## 547 49.54 332915074 35.608 38.3 15.413
## 548 49.54 332915074 35.608 38.3 15.413
## 549 49.54 332915074 35.608 38.3 15.413
## 550 49.54 332915074 35.608 38.3 15.413
## 551 49.54 332915074 35.608 38.3 15.413
## 552 49.54 332915074 35.608 38.3 15.413
## 553 49.54 332915074 35.608 38.3 15.413
## 554 49.54 332915074 35.608 38.3 15.413
## 555 49.54 332915074 35.608 38.3 15.413
## 556 49.54 332915074 35.608 38.3 15.413
## 557 49.54 332915074 35.608 38.3 15.413
## 558 49.54 332915074 35.608 38.3 15.413
## 559 49.54 332915074 35.608 38.3 15.413
## 560 49.54 332915074 35.608 38.3 15.413
## 561 49.54 332915074 35.608 38.3 15.413
## 562 49.54 332915074 35.608 38.3 15.413
## 563 49.54 332915074 35.608 38.3 15.413
## 564 49.54 332915074 35.608 38.3 15.413
## 565 49.54 332915074 35.608 38.3 15.413
## 566 49.54 332915074 35.608 38.3 15.413
## 567 56.02 332915074 35.608 38.3 15.413
## 568 56.02 332915074 35.608 38.3 15.413
## 569 56.02 332915074 35.608 38.3 15.413
## 570 56.02 332915074 35.608 38.3 15.413
## 571 56.02 332915074 35.608 38.3 15.413
## 572 56.02 332915074 35.608 38.3 15.413
## 573 56.02 332915074 35.608 38.3 15.413
## 574 56.02 332915074 35.608 38.3 15.413
## 575 56.02 332915074 35.608 38.3 15.413
## 576 56.02 332915074 35.608 38.3 15.413
## 577 56.02 332915074 35.608 38.3 15.413
## 578 56.02 332915074 35.608 38.3 15.413
## 579 56.02 332915074 35.608 38.3 15.413
## 580 56.02 332915074 35.608 38.3 15.413
## 581 56.02 332915074 35.608 38.3 15.413
## 582 56.02 332915074 35.608 38.3 15.413
## 583 56.02 332915074 35.608 38.3 15.413
## 584 56.02 332915074 35.608 38.3 15.413
## 585 56.02 332915074 35.608 38.3 15.413
## 586 56.02 332915074 35.608 38.3 15.413
## 587 57.87 332915074 35.608 38.3 15.413
## 588 57.87 332915074 35.608 38.3 15.413
## 589 52.31 332915074 35.608 38.3 15.413
## 590 52.31 332915074 35.608 38.3 15.413
## 591 52.31 332915074 35.608 38.3 15.413
## 592 52.31 332915074 35.608 38.3 15.413
## 593 52.31 332915074 35.608 38.3 15.413
## 594 52.31 332915074 35.608 38.3 15.413
## 595 52.31 332915074 35.608 38.3 15.413
## 596 52.31 332915074 35.608 38.3 15.413
## 597 52.31 332915074 35.608 38.3 15.413
## 598 52.31 332915074 35.608 38.3 15.413
## 599 52.31 332915074 35.608 38.3 15.413
## 600 52.31 332915074 35.608 38.3 15.413
## 601 56.02 332915074 35.608 38.3 15.413
## 602 56.02 332915074 35.608 38.3 15.413
## 603 56.02 332915074 35.608 38.3 15.413
## 604 56.02 332915074 35.608 38.3 15.413
## 605 56.02 332915074 35.608 38.3 15.413
## 606 56.02 332915074 35.608 38.3 15.413
## 607 56.02 332915074 35.608 38.3 15.413
## 608 56.02 332915074 35.608 38.3 15.413
## 609 56.02 332915074 35.608 38.3 15.413
## 610 56.02 332915074 35.608 38.3 15.413
## 611 56.02 332915074 35.608 38.3 15.413
## 612 56.02 332915074 35.608 38.3 15.413
## 613 56.02 332915074 35.608 38.3 15.413
## 614 56.02 332915074 35.608 38.3 15.413
## 615 56.02 332915074 35.608 38.3 15.413
## 616 56.02 332915074 35.608 38.3 15.413
## 617 56.02 332915074 35.608 38.3 15.413
## 618 56.02 332915074 35.608 38.3 15.413
## 619 56.02 332915074 35.608 38.3 15.413
## 620 56.02 332915074 35.608 38.3 15.413
## 621 56.02 332915074 35.608 38.3 15.413
## 622 56.02 332915074 35.608 38.3 15.413
## 623 56.02 332915074 35.608 38.3 15.413
## 624 56.02 332915074 35.608 38.3 15.413
## 625 56.02 332915074 35.608 38.3 15.413
## 626 56.02 332915074 35.608 38.3 15.413
## 627 56.02 332915074 35.608 38.3 15.413
## 628 56.02 332915074 35.608 38.3 15.413
## 629 56.02 332915074 35.608 38.3 15.413
## 630 56.02 332915074 35.608 38.3 15.413
## 631 56.02 332915074 35.608 38.3 15.413
## 632 56.02 332915074 35.608 38.3 15.413
## 633 56.02 332915074 35.608 38.3 15.413
## 634 56.02 332915074 35.608 38.3 15.413
## 635 56.02 332915074 35.608 38.3 15.413
## 636 56.02 332915074 35.608 38.3 15.413
## 637 56.02 332915074 35.608 38.3 15.413
## 638 56.02 332915074 35.608 38.3 15.413
## 639 56.02 332915074 35.608 38.3 15.413
## 640 56.02 332915074 35.608 38.3 15.413
## 641 56.02 332915074 35.608 38.3 15.413
## 642 56.02 332915074 35.608 38.3 15.413
## 643 56.02 332915074 35.608 38.3 15.413
## 644 56.02 332915074 35.608 38.3 15.413
## 645 56.02 332915074 35.608 38.3 15.413
## 646 56.02 332915074 35.608 38.3 15.413
## 647 56.02 332915074 35.608 38.3 15.413
## 648 56.02 332915074 35.608 38.3 15.413
## 649 56.02 332915074 35.608 38.3 15.413
## 650 56.02 332915074 35.608 38.3 15.413
## 651 56.02 332915074 35.608 38.3 15.413
## 652 56.02 332915074 35.608 38.3 15.413
## 653 56.02 332915074 35.608 38.3 15.413
## 654 56.02 332915074 35.608 38.3 15.413
## 655 56.02 332915074 35.608 38.3 15.413
## 656 56.02 332915074 35.608 38.3 15.413
## 657 50.46 332915074 35.608 38.3 15.413
## 658 50.46 332915074 35.608 38.3 15.413
## 659 50.46 332915074 35.608 38.3 15.413
## 660 50.46 332915074 35.608 38.3 15.413
## 661 50.46 332915074 35.608 38.3 15.413
## 662 50.46 332915074 35.608 38.3 15.413
## 663 50.46 332915074 35.608 38.3 15.413
## 664 50.46 332915074 35.608 38.3 15.413
## 665 50.46 332915074 35.608 38.3 15.413
## 666 50.46 332915074 35.608 38.3 15.413
## 667 50.46 332915074 35.608 38.3 15.413
## 668 50.46 332915074 35.608 38.3 15.413
## 669 50.46 332915074 35.608 38.3 15.413
## 670 50.46 332915074 35.608 38.3 15.413
## 671 50.46 332915074 35.608 38.3 15.413
## 672 50.46 332915074 35.608 38.3 15.413
## 673 50.46 332915074 35.608 38.3 15.413
## 674 50.46 332915074 35.608 38.3 15.413
## 675 50.46 332915074 35.608 38.3 15.413
## 676 50.46 332915074 35.608 38.3 15.413
## 677 50.46 332915074 35.608 38.3 15.413
## 678 56.02 332915074 35.608 38.3 15.413
## 679 47.69 332915074 35.608 38.3 15.413
## 680 47.69 332915074 35.608 38.3 15.413
## 681 47.69 332915074 35.608 38.3 15.413
## 682 47.69 332915074 35.608 38.3 15.413
## 683 47.69 332915074 35.608 38.3 15.413
## 684 47.69 332915074 35.608 38.3 15.413
## 685 47.69 332915074 35.608 38.3 15.413
## 686 47.69 332915074 35.608 38.3 15.413
## 687 47.69 332915074 35.608 38.3 15.413
## 688 47.69 332915074 35.608 38.3 15.413
## 689 47.69 332915074 35.608 38.3 15.413
## 690 47.69 332915074 35.608 38.3 15.413
## 691 47.69 332915074 35.608 38.3 15.413
## 692 47.69 332915074 35.608 38.3 15.413
## 693 47.69 332915074 35.608 38.3 15.413
## 694 47.69 332915074 35.608 38.3 15.413
## 695 47.69 332915074 35.608 38.3 15.413
## 696 47.69 332915074 35.608 38.3 15.413
## 697 47.69 332915074 35.608 38.3 15.413
## 698 47.69 332915074 35.608 38.3 15.413
## 699 47.69 332915074 35.608 38.3 15.413
## 700 47.69 332915074 35.608 38.3 15.413
## 701 47.69 332915074 35.608 38.3 15.413
## 702 47.69 332915074 35.608 38.3 15.413
## 703 47.69 332915074 35.608 38.3 15.413
## 704 47.69 332915074 35.608 38.3 15.413
## 705 47.69 332915074 35.608 38.3 15.413
## 706 50.46 332915074 35.608 38.3 15.413
## 707 50.46 332915074 35.608 38.3 15.413
## 708 50.46 332915074 35.608 38.3 15.413
## 709 50.46 332915074 35.608 38.3 15.413
## 710 50.46 332915074 35.608 38.3 15.413
## 711 50.46 332915074 35.608 38.3 15.413
## 712 50.46 332915074 35.608 38.3 15.413
## 713 50.46 332915074 35.608 38.3 15.413
## 714 50.46 332915074 35.608 38.3 15.413
## 715 50.46 332915074 35.608 38.3 15.413
## 716 50.46 332915074 35.608 38.3 15.413
## 717 50.46 332915074 35.608 38.3 15.413
## 718 50.46 332915074 35.608 38.3 15.413
## 719 50.46 332915074 35.608 38.3 15.413
## 720 50.46 332915074 35.608 38.3 15.413
## 721 50.46 332915074 35.608 38.3 15.413
## 722 50.46 332915074 35.608 38.3 15.413
## 723 50.46 332915074 35.608 38.3 15.413
## 724 50.46 332915074 35.608 38.3 15.413
## 725 50.46 332915074 35.608 38.3 15.413
## 726 50.46 332915074 35.608 38.3 15.413
## 727 50.46 332915074 35.608 38.3 15.413
## 728 50.46 332915074 35.608 38.3 15.413
## 729 56.02 332915074 35.608 38.3 15.413
## 730 56.02 332915074 35.608 38.3 15.413
## 731 56.02 332915074 35.608 38.3 15.413
## 732 56.02 332915074 35.608 38.3 15.413
## 733 56.02 332915074 35.608 38.3 15.413
## 734 56.02 332915074 35.608 38.3 15.413
## 735 56.02 332915074 35.608 38.3 15.413
## 736 56.02 332915074 35.608 38.3 15.413
## 737 56.02 332915074 35.608 38.3 15.413
## 738 56.02 332915074 35.608 38.3 15.413
## 739 56.02 332915074 35.608 38.3 15.413
## 740 56.02 332915074 35.608 38.3 15.413
## 741 56.02 332915074 35.608 38.3 15.413
## 742 58.80 332915074 35.608 38.3 15.413
## 743 58.80 332915074 35.608 38.3 15.413
## 744 58.80 332915074 35.608 38.3 15.413
## 745 58.80 332915074 35.608 38.3 15.413
## 746 58.80 332915074 35.608 38.3 15.413
## 747 58.80 332915074 35.608 38.3 15.413
## 748 58.80 332915074 35.608 38.3 15.413
## 749 58.80 332915074 35.608 38.3 15.413
## 750 58.80 332915074 35.608 38.3 15.413
## 751 58.80 332915074 35.608 38.3 15.413
## 752 58.80 332915074 35.608 38.3 15.413
## 753 58.80 332915074 35.608 38.3 15.413
## 754 58.80 332915074 35.608 38.3 15.413
## 755 58.80 332915074 35.608 38.3 15.413
## 756 58.80 332915074 35.608 38.3 15.413
## 757 58.80 332915074 35.608 38.3 15.413
## 758 58.80 332915074 35.608 38.3 15.413
## 759 58.80 332915074 35.608 38.3 15.413
## 760 58.80 332915074 35.608 38.3 15.413
## 761 58.80 332915074 35.608 38.3 15.413
## 762 58.80 332915074 35.608 38.3 15.413
## 763 58.80 332915074 35.608 38.3 15.413
## 764 58.80 332915074 35.608 38.3 15.413
## 765 58.80 332915074 35.608 38.3 15.413
## 766 58.80 332915074 35.608 38.3 15.413
## 767 58.80 332915074 35.608 38.3 15.413
## 768 58.80 332915074 35.608 38.3 15.413
## 769 53.24 332915074 35.608 38.3 15.413
## 770 53.24 332915074 35.608 38.3 15.413
## 771 53.24 332915074 35.608 38.3 15.413
## 772 53.24 332915074 35.608 38.3 15.413
## 773 53.24 332915074 35.608 38.3 15.413
## 774 53.24 332915074 35.608 38.3 15.413
## 775 53.24 332915074 35.608 38.3 15.413
## 776 53.24 332915074 35.608 38.3 15.413
## 777 53.24 332915074 35.608 38.3 15.413
## 778 53.24 332915074 35.608 38.3 15.413
## 779 53.24 332915074 35.608 38.3 15.413
## 780 53.24 332915074 35.608 38.3 15.413
## 781 53.24 332915074 35.608 38.3 15.413
## 782 53.24 332915074 35.608 38.3 15.413
## 783 53.24 332915074 35.608 38.3 15.413
## 784 53.24 332915074 35.608 38.3 15.413
## 785 58.80 332915074 35.608 38.3 15.413
## 786 NA 332915074 35.608 38.3 15.413
## 787 NA 332915074 35.608 38.3 15.413
## 788 NA 332915074 35.608 38.3 15.413
## 789 NA 332915074 35.608 38.3 15.413
## 790 NA 332915074 35.608 38.3 15.413
## 791 NA 332915074 35.608 38.3 15.413
## 792 NA 332915074 35.608 38.3 15.413
## 793 NA 332915074 35.608 38.3 15.413
## 794 NA 332915074 35.608 38.3 15.413
## 795 NA 332915074 35.608 38.3 15.413
## aged_70_older gdp_per_capita extreme_poverty cardiovasc_death_rate
## 1 9.732 54225.45 1.2 151.089
## 2 9.732 54225.45 1.2 151.089
## 3 9.732 54225.45 1.2 151.089
## 4 9.732 54225.45 1.2 151.089
## 5 9.732 54225.45 1.2 151.089
## 6 9.732 54225.45 1.2 151.089
## 7 9.732 54225.45 1.2 151.089
## 8 9.732 54225.45 1.2 151.089
## 9 9.732 54225.45 1.2 151.089
## 10 9.732 54225.45 1.2 151.089
## 11 9.732 54225.45 1.2 151.089
## 12 9.732 54225.45 1.2 151.089
## 13 9.732 54225.45 1.2 151.089
## 14 9.732 54225.45 1.2 151.089
## 15 9.732 54225.45 1.2 151.089
## 16 9.732 54225.45 1.2 151.089
## 17 9.732 54225.45 1.2 151.089
## 18 9.732 54225.45 1.2 151.089
## 19 9.732 54225.45 1.2 151.089
## 20 9.732 54225.45 1.2 151.089
## 21 9.732 54225.45 1.2 151.089
## 22 9.732 54225.45 1.2 151.089
## 23 9.732 54225.45 1.2 151.089
## 24 9.732 54225.45 1.2 151.089
## 25 9.732 54225.45 1.2 151.089
## 26 9.732 54225.45 1.2 151.089
## 27 9.732 54225.45 1.2 151.089
## 28 9.732 54225.45 1.2 151.089
## 29 9.732 54225.45 1.2 151.089
## 30 9.732 54225.45 1.2 151.089
## 31 9.732 54225.45 1.2 151.089
## 32 9.732 54225.45 1.2 151.089
## 33 9.732 54225.45 1.2 151.089
## 34 9.732 54225.45 1.2 151.089
## 35 9.732 54225.45 1.2 151.089
## 36 9.732 54225.45 1.2 151.089
## 37 9.732 54225.45 1.2 151.089
## 38 9.732 54225.45 1.2 151.089
## 39 9.732 54225.45 1.2 151.089
## 40 9.732 54225.45 1.2 151.089
## 41 9.732 54225.45 1.2 151.089
## 42 9.732 54225.45 1.2 151.089
## 43 9.732 54225.45 1.2 151.089
## 44 9.732 54225.45 1.2 151.089
## 45 9.732 54225.45 1.2 151.089
## 46 9.732 54225.45 1.2 151.089
## 47 9.732 54225.45 1.2 151.089
## 48 9.732 54225.45 1.2 151.089
## 49 9.732 54225.45 1.2 151.089
## 50 9.732 54225.45 1.2 151.089
## 51 9.732 54225.45 1.2 151.089
## 52 9.732 54225.45 1.2 151.089
## 53 9.732 54225.45 1.2 151.089
## 54 9.732 54225.45 1.2 151.089
## 55 9.732 54225.45 1.2 151.089
## 56 9.732 54225.45 1.2 151.089
## 57 9.732 54225.45 1.2 151.089
## 58 9.732 54225.45 1.2 151.089
## 59 9.732 54225.45 1.2 151.089
## 60 9.732 54225.45 1.2 151.089
## 61 9.732 54225.45 1.2 151.089
## 62 9.732 54225.45 1.2 151.089
## 63 9.732 54225.45 1.2 151.089
## 64 9.732 54225.45 1.2 151.089
## 65 9.732 54225.45 1.2 151.089
## 66 9.732 54225.45 1.2 151.089
## 67 9.732 54225.45 1.2 151.089
## 68 9.732 54225.45 1.2 151.089
## 69 9.732 54225.45 1.2 151.089
## 70 9.732 54225.45 1.2 151.089
## 71 9.732 54225.45 1.2 151.089
## 72 9.732 54225.45 1.2 151.089
## 73 9.732 54225.45 1.2 151.089
## 74 9.732 54225.45 1.2 151.089
## 75 9.732 54225.45 1.2 151.089
## 76 9.732 54225.45 1.2 151.089
## 77 9.732 54225.45 1.2 151.089
## 78 9.732 54225.45 1.2 151.089
## 79 9.732 54225.45 1.2 151.089
## 80 9.732 54225.45 1.2 151.089
## 81 9.732 54225.45 1.2 151.089
## 82 9.732 54225.45 1.2 151.089
## 83 9.732 54225.45 1.2 151.089
## 84 9.732 54225.45 1.2 151.089
## 85 9.732 54225.45 1.2 151.089
## 86 9.732 54225.45 1.2 151.089
## 87 9.732 54225.45 1.2 151.089
## 88 9.732 54225.45 1.2 151.089
## 89 9.732 54225.45 1.2 151.089
## 90 9.732 54225.45 1.2 151.089
## 91 9.732 54225.45 1.2 151.089
## 92 9.732 54225.45 1.2 151.089
## 93 9.732 54225.45 1.2 151.089
## 94 9.732 54225.45 1.2 151.089
## 95 9.732 54225.45 1.2 151.089
## 96 9.732 54225.45 1.2 151.089
## 97 9.732 54225.45 1.2 151.089
## 98 9.732 54225.45 1.2 151.089
## 99 9.732 54225.45 1.2 151.089
## 100 9.732 54225.45 1.2 151.089
## 101 9.732 54225.45 1.2 151.089
## 102 9.732 54225.45 1.2 151.089
## 103 9.732 54225.45 1.2 151.089
## 104 9.732 54225.45 1.2 151.089
## 105 9.732 54225.45 1.2 151.089
## 106 9.732 54225.45 1.2 151.089
## 107 9.732 54225.45 1.2 151.089
## 108 9.732 54225.45 1.2 151.089
## 109 9.732 54225.45 1.2 151.089
## 110 9.732 54225.45 1.2 151.089
## 111 9.732 54225.45 1.2 151.089
## 112 9.732 54225.45 1.2 151.089
## 113 9.732 54225.45 1.2 151.089
## 114 9.732 54225.45 1.2 151.089
## 115 9.732 54225.45 1.2 151.089
## 116 9.732 54225.45 1.2 151.089
## 117 9.732 54225.45 1.2 151.089
## 118 9.732 54225.45 1.2 151.089
## 119 9.732 54225.45 1.2 151.089
## 120 9.732 54225.45 1.2 151.089
## 121 9.732 54225.45 1.2 151.089
## 122 9.732 54225.45 1.2 151.089
## 123 9.732 54225.45 1.2 151.089
## 124 9.732 54225.45 1.2 151.089
## 125 9.732 54225.45 1.2 151.089
## 126 9.732 54225.45 1.2 151.089
## 127 9.732 54225.45 1.2 151.089
## 128 9.732 54225.45 1.2 151.089
## 129 9.732 54225.45 1.2 151.089
## 130 9.732 54225.45 1.2 151.089
## 131 9.732 54225.45 1.2 151.089
## 132 9.732 54225.45 1.2 151.089
## 133 9.732 54225.45 1.2 151.089
## 134 9.732 54225.45 1.2 151.089
## 135 9.732 54225.45 1.2 151.089
## 136 9.732 54225.45 1.2 151.089
## 137 9.732 54225.45 1.2 151.089
## 138 9.732 54225.45 1.2 151.089
## 139 9.732 54225.45 1.2 151.089
## 140 9.732 54225.45 1.2 151.089
## 141 9.732 54225.45 1.2 151.089
## 142 9.732 54225.45 1.2 151.089
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## 619 9.732 54225.45 1.2 151.089
## 620 9.732 54225.45 1.2 151.089
## 621 9.732 54225.45 1.2 151.089
## 622 9.732 54225.45 1.2 151.089
## 623 9.732 54225.45 1.2 151.089
## 624 9.732 54225.45 1.2 151.089
## 625 9.732 54225.45 1.2 151.089
## 626 9.732 54225.45 1.2 151.089
## 627 9.732 54225.45 1.2 151.089
## 628 9.732 54225.45 1.2 151.089
## 629 9.732 54225.45 1.2 151.089
## 630 9.732 54225.45 1.2 151.089
## 631 9.732 54225.45 1.2 151.089
## 632 9.732 54225.45 1.2 151.089
## 633 9.732 54225.45 1.2 151.089
## 634 9.732 54225.45 1.2 151.089
## 635 9.732 54225.45 1.2 151.089
## 636 9.732 54225.45 1.2 151.089
## 637 9.732 54225.45 1.2 151.089
## 638 9.732 54225.45 1.2 151.089
## 639 9.732 54225.45 1.2 151.089
## 640 9.732 54225.45 1.2 151.089
## 641 9.732 54225.45 1.2 151.089
## 642 9.732 54225.45 1.2 151.089
## 643 9.732 54225.45 1.2 151.089
## 644 9.732 54225.45 1.2 151.089
## 645 9.732 54225.45 1.2 151.089
## 646 9.732 54225.45 1.2 151.089
## 647 9.732 54225.45 1.2 151.089
## 648 9.732 54225.45 1.2 151.089
## 649 9.732 54225.45 1.2 151.089
## 650 9.732 54225.45 1.2 151.089
## 651 9.732 54225.45 1.2 151.089
## 652 9.732 54225.45 1.2 151.089
## 653 9.732 54225.45 1.2 151.089
## 654 9.732 54225.45 1.2 151.089
## 655 9.732 54225.45 1.2 151.089
## 656 9.732 54225.45 1.2 151.089
## 657 9.732 54225.45 1.2 151.089
## 658 9.732 54225.45 1.2 151.089
## 659 9.732 54225.45 1.2 151.089
## 660 9.732 54225.45 1.2 151.089
## 661 9.732 54225.45 1.2 151.089
## 662 9.732 54225.45 1.2 151.089
## 663 9.732 54225.45 1.2 151.089
## 664 9.732 54225.45 1.2 151.089
## 665 9.732 54225.45 1.2 151.089
## 666 9.732 54225.45 1.2 151.089
## 667 9.732 54225.45 1.2 151.089
## 668 9.732 54225.45 1.2 151.089
## 669 9.732 54225.45 1.2 151.089
## 670 9.732 54225.45 1.2 151.089
## 671 9.732 54225.45 1.2 151.089
## 672 9.732 54225.45 1.2 151.089
## 673 9.732 54225.45 1.2 151.089
## 674 9.732 54225.45 1.2 151.089
## 675 9.732 54225.45 1.2 151.089
## 676 9.732 54225.45 1.2 151.089
## 677 9.732 54225.45 1.2 151.089
## 678 9.732 54225.45 1.2 151.089
## 679 9.732 54225.45 1.2 151.089
## 680 9.732 54225.45 1.2 151.089
## 681 9.732 54225.45 1.2 151.089
## 682 9.732 54225.45 1.2 151.089
## 683 9.732 54225.45 1.2 151.089
## 684 9.732 54225.45 1.2 151.089
## 685 9.732 54225.45 1.2 151.089
## 686 9.732 54225.45 1.2 151.089
## 687 9.732 54225.45 1.2 151.089
## 688 9.732 54225.45 1.2 151.089
## 689 9.732 54225.45 1.2 151.089
## 690 9.732 54225.45 1.2 151.089
## 691 9.732 54225.45 1.2 151.089
## 692 9.732 54225.45 1.2 151.089
## 693 9.732 54225.45 1.2 151.089
## 694 9.732 54225.45 1.2 151.089
## 695 9.732 54225.45 1.2 151.089
## 696 9.732 54225.45 1.2 151.089
## 697 9.732 54225.45 1.2 151.089
## 698 9.732 54225.45 1.2 151.089
## 699 9.732 54225.45 1.2 151.089
## 700 9.732 54225.45 1.2 151.089
## 701 9.732 54225.45 1.2 151.089
## 702 9.732 54225.45 1.2 151.089
## 703 9.732 54225.45 1.2 151.089
## 704 9.732 54225.45 1.2 151.089
## 705 9.732 54225.45 1.2 151.089
## 706 9.732 54225.45 1.2 151.089
## 707 9.732 54225.45 1.2 151.089
## 708 9.732 54225.45 1.2 151.089
## 709 9.732 54225.45 1.2 151.089
## 710 9.732 54225.45 1.2 151.089
## 711 9.732 54225.45 1.2 151.089
## 712 9.732 54225.45 1.2 151.089
## 713 9.732 54225.45 1.2 151.089
## 714 9.732 54225.45 1.2 151.089
## 715 9.732 54225.45 1.2 151.089
## 716 9.732 54225.45 1.2 151.089
## 717 9.732 54225.45 1.2 151.089
## 718 9.732 54225.45 1.2 151.089
## 719 9.732 54225.45 1.2 151.089
## 720 9.732 54225.45 1.2 151.089
## 721 9.732 54225.45 1.2 151.089
## 722 9.732 54225.45 1.2 151.089
## 723 9.732 54225.45 1.2 151.089
## 724 9.732 54225.45 1.2 151.089
## 725 9.732 54225.45 1.2 151.089
## 726 9.732 54225.45 1.2 151.089
## 727 9.732 54225.45 1.2 151.089
## 728 9.732 54225.45 1.2 151.089
## 729 9.732 54225.45 1.2 151.089
## 730 9.732 54225.45 1.2 151.089
## 731 9.732 54225.45 1.2 151.089
## 732 9.732 54225.45 1.2 151.089
## 733 9.732 54225.45 1.2 151.089
## 734 9.732 54225.45 1.2 151.089
## 735 9.732 54225.45 1.2 151.089
## 736 9.732 54225.45 1.2 151.089
## 737 9.732 54225.45 1.2 151.089
## 738 9.732 54225.45 1.2 151.089
## 739 9.732 54225.45 1.2 151.089
## 740 9.732 54225.45 1.2 151.089
## 741 9.732 54225.45 1.2 151.089
## 742 9.732 54225.45 1.2 151.089
## 743 9.732 54225.45 1.2 151.089
## 744 9.732 54225.45 1.2 151.089
## 745 9.732 54225.45 1.2 151.089
## 746 9.732 54225.45 1.2 151.089
## 747 9.732 54225.45 1.2 151.089
## 748 9.732 54225.45 1.2 151.089
## 749 9.732 54225.45 1.2 151.089
## 750 9.732 54225.45 1.2 151.089
## 751 9.732 54225.45 1.2 151.089
## 752 9.732 54225.45 1.2 151.089
## 753 9.732 54225.45 1.2 151.089
## 754 9.732 54225.45 1.2 151.089
## 755 9.732 54225.45 1.2 151.089
## 756 9.732 54225.45 1.2 151.089
## 757 9.732 54225.45 1.2 151.089
## 758 9.732 54225.45 1.2 151.089
## 759 9.732 54225.45 1.2 151.089
## 760 9.732 54225.45 1.2 151.089
## 761 9.732 54225.45 1.2 151.089
## 762 9.732 54225.45 1.2 151.089
## 763 9.732 54225.45 1.2 151.089
## 764 9.732 54225.45 1.2 151.089
## 765 9.732 54225.45 1.2 151.089
## 766 9.732 54225.45 1.2 151.089
## 767 9.732 54225.45 1.2 151.089
## 768 9.732 54225.45 1.2 151.089
## 769 9.732 54225.45 1.2 151.089
## 770 9.732 54225.45 1.2 151.089
## 771 9.732 54225.45 1.2 151.089
## 772 9.732 54225.45 1.2 151.089
## 773 9.732 54225.45 1.2 151.089
## 774 9.732 54225.45 1.2 151.089
## 775 9.732 54225.45 1.2 151.089
## 776 9.732 54225.45 1.2 151.089
## 777 9.732 54225.45 1.2 151.089
## 778 9.732 54225.45 1.2 151.089
## 779 9.732 54225.45 1.2 151.089
## 780 9.732 54225.45 1.2 151.089
## 781 9.732 54225.45 1.2 151.089
## 782 9.732 54225.45 1.2 151.089
## 783 9.732 54225.45 1.2 151.089
## 784 9.732 54225.45 1.2 151.089
## 785 9.732 54225.45 1.2 151.089
## 786 9.732 54225.45 1.2 151.089
## 787 9.732 54225.45 1.2 151.089
## 788 9.732 54225.45 1.2 151.089
## 789 9.732 54225.45 1.2 151.089
## 790 9.732 54225.45 1.2 151.089
## 791 9.732 54225.45 1.2 151.089
## 792 9.732 54225.45 1.2 151.089
## 793 9.732 54225.45 1.2 151.089
## 794 9.732 54225.45 1.2 151.089
## 795 9.732 54225.45 1.2 151.089
## diabetes_prevalence female_smokers male_smokers handwashing_facilities
## 1 10.79 19.1 24.6 NA
## 2 10.79 19.1 24.6 NA
## 3 10.79 19.1 24.6 NA
## 4 10.79 19.1 24.6 NA
## 5 10.79 19.1 24.6 NA
## 6 10.79 19.1 24.6 NA
## 7 10.79 19.1 24.6 NA
## 8 10.79 19.1 24.6 NA
## 9 10.79 19.1 24.6 NA
## 10 10.79 19.1 24.6 NA
## 11 10.79 19.1 24.6 NA
## 12 10.79 19.1 24.6 NA
## 13 10.79 19.1 24.6 NA
## 14 10.79 19.1 24.6 NA
## 15 10.79 19.1 24.6 NA
## 16 10.79 19.1 24.6 NA
## 17 10.79 19.1 24.6 NA
## 18 10.79 19.1 24.6 NA
## 19 10.79 19.1 24.6 NA
## 20 10.79 19.1 24.6 NA
## 21 10.79 19.1 24.6 NA
## 22 10.79 19.1 24.6 NA
## 23 10.79 19.1 24.6 NA
## 24 10.79 19.1 24.6 NA
## 25 10.79 19.1 24.6 NA
## 26 10.79 19.1 24.6 NA
## 27 10.79 19.1 24.6 NA
## 28 10.79 19.1 24.6 NA
## 29 10.79 19.1 24.6 NA
## 30 10.79 19.1 24.6 NA
## 31 10.79 19.1 24.6 NA
## 32 10.79 19.1 24.6 NA
## 33 10.79 19.1 24.6 NA
## 34 10.79 19.1 24.6 NA
## 35 10.79 19.1 24.6 NA
## 36 10.79 19.1 24.6 NA
## 37 10.79 19.1 24.6 NA
## 38 10.79 19.1 24.6 NA
## 39 10.79 19.1 24.6 NA
## 40 10.79 19.1 24.6 NA
## 41 10.79 19.1 24.6 NA
## 42 10.79 19.1 24.6 NA
## 43 10.79 19.1 24.6 NA
## 44 10.79 19.1 24.6 NA
## 45 10.79 19.1 24.6 NA
## 46 10.79 19.1 24.6 NA
## 47 10.79 19.1 24.6 NA
## 48 10.79 19.1 24.6 NA
## 49 10.79 19.1 24.6 NA
## 50 10.79 19.1 24.6 NA
## 51 10.79 19.1 24.6 NA
## 52 10.79 19.1 24.6 NA
## 53 10.79 19.1 24.6 NA
## 54 10.79 19.1 24.6 NA
## 55 10.79 19.1 24.6 NA
## 56 10.79 19.1 24.6 NA
## 57 10.79 19.1 24.6 NA
## 58 10.79 19.1 24.6 NA
## 59 10.79 19.1 24.6 NA
## 60 10.79 19.1 24.6 NA
## 61 10.79 19.1 24.6 NA
## 62 10.79 19.1 24.6 NA
## 63 10.79 19.1 24.6 NA
## 64 10.79 19.1 24.6 NA
## 65 10.79 19.1 24.6 NA
## 66 10.79 19.1 24.6 NA
## 67 10.79 19.1 24.6 NA
## 68 10.79 19.1 24.6 NA
## 69 10.79 19.1 24.6 NA
## 70 10.79 19.1 24.6 NA
## 71 10.79 19.1 24.6 NA
## 72 10.79 19.1 24.6 NA
## 73 10.79 19.1 24.6 NA
## 74 10.79 19.1 24.6 NA
## 75 10.79 19.1 24.6 NA
## 76 10.79 19.1 24.6 NA
## 77 10.79 19.1 24.6 NA
## 78 10.79 19.1 24.6 NA
## 79 10.79 19.1 24.6 NA
## 80 10.79 19.1 24.6 NA
## 81 10.79 19.1 24.6 NA
## 82 10.79 19.1 24.6 NA
## 83 10.79 19.1 24.6 NA
## 84 10.79 19.1 24.6 NA
## 85 10.79 19.1 24.6 NA
## 86 10.79 19.1 24.6 NA
## 87 10.79 19.1 24.6 NA
## 88 10.79 19.1 24.6 NA
## 89 10.79 19.1 24.6 NA
## 90 10.79 19.1 24.6 NA
## 91 10.79 19.1 24.6 NA
## 92 10.79 19.1 24.6 NA
## 93 10.79 19.1 24.6 NA
## 94 10.79 19.1 24.6 NA
## 95 10.79 19.1 24.6 NA
## 96 10.79 19.1 24.6 NA
## 97 10.79 19.1 24.6 NA
## 98 10.79 19.1 24.6 NA
## 99 10.79 19.1 24.6 NA
## 100 10.79 19.1 24.6 NA
## 101 10.79 19.1 24.6 NA
## 102 10.79 19.1 24.6 NA
## 103 10.79 19.1 24.6 NA
## 104 10.79 19.1 24.6 NA
## 105 10.79 19.1 24.6 NA
## 106 10.79 19.1 24.6 NA
## 107 10.79 19.1 24.6 NA
## 108 10.79 19.1 24.6 NA
## 109 10.79 19.1 24.6 NA
## 110 10.79 19.1 24.6 NA
## 111 10.79 19.1 24.6 NA
## 112 10.79 19.1 24.6 NA
## 113 10.79 19.1 24.6 NA
## 114 10.79 19.1 24.6 NA
## 115 10.79 19.1 24.6 NA
## 116 10.79 19.1 24.6 NA
## 117 10.79 19.1 24.6 NA
## 118 10.79 19.1 24.6 NA
## 119 10.79 19.1 24.6 NA
## 120 10.79 19.1 24.6 NA
## 121 10.79 19.1 24.6 NA
## 122 10.79 19.1 24.6 NA
## 123 10.79 19.1 24.6 NA
## 124 10.79 19.1 24.6 NA
## 125 10.79 19.1 24.6 NA
## 126 10.79 19.1 24.6 NA
## 127 10.79 19.1 24.6 NA
## 128 10.79 19.1 24.6 NA
## 129 10.79 19.1 24.6 NA
## 130 10.79 19.1 24.6 NA
## 131 10.79 19.1 24.6 NA
## 132 10.79 19.1 24.6 NA
## 133 10.79 19.1 24.6 NA
## 134 10.79 19.1 24.6 NA
## 135 10.79 19.1 24.6 NA
## 136 10.79 19.1 24.6 NA
## 137 10.79 19.1 24.6 NA
## 138 10.79 19.1 24.6 NA
## 139 10.79 19.1 24.6 NA
## 140 10.79 19.1 24.6 NA
## 141 10.79 19.1 24.6 NA
## 142 10.79 19.1 24.6 NA
## 143 10.79 19.1 24.6 NA
## 144 10.79 19.1 24.6 NA
## 145 10.79 19.1 24.6 NA
## 146 10.79 19.1 24.6 NA
## 147 10.79 19.1 24.6 NA
## 148 10.79 19.1 24.6 NA
## 149 10.79 19.1 24.6 NA
## 150 10.79 19.1 24.6 NA
## 151 10.79 19.1 24.6 NA
## 152 10.79 19.1 24.6 NA
## 153 10.79 19.1 24.6 NA
## 154 10.79 19.1 24.6 NA
## 155 10.79 19.1 24.6 NA
## 156 10.79 19.1 24.6 NA
## 157 10.79 19.1 24.6 NA
## 158 10.79 19.1 24.6 NA
## 159 10.79 19.1 24.6 NA
## 160 10.79 19.1 24.6 NA
## 161 10.79 19.1 24.6 NA
## 162 10.79 19.1 24.6 NA
## 163 10.79 19.1 24.6 NA
## 164 10.79 19.1 24.6 NA
## 165 10.79 19.1 24.6 NA
## 166 10.79 19.1 24.6 NA
## 167 10.79 19.1 24.6 NA
## 168 10.79 19.1 24.6 NA
## 169 10.79 19.1 24.6 NA
## 170 10.79 19.1 24.6 NA
## 171 10.79 19.1 24.6 NA
## 172 10.79 19.1 24.6 NA
## 173 10.79 19.1 24.6 NA
## 174 10.79 19.1 24.6 NA
## 175 10.79 19.1 24.6 NA
## 176 10.79 19.1 24.6 NA
## 177 10.79 19.1 24.6 NA
## 178 10.79 19.1 24.6 NA
## 179 10.79 19.1 24.6 NA
## 180 10.79 19.1 24.6 NA
## 181 10.79 19.1 24.6 NA
## 182 10.79 19.1 24.6 NA
## 183 10.79 19.1 24.6 NA
## 184 10.79 19.1 24.6 NA
## 185 10.79 19.1 24.6 NA
## 186 10.79 19.1 24.6 NA
## 187 10.79 19.1 24.6 NA
## 188 10.79 19.1 24.6 NA
## 189 10.79 19.1 24.6 NA
## 190 10.79 19.1 24.6 NA
## 191 10.79 19.1 24.6 NA
## 192 10.79 19.1 24.6 NA
## 193 10.79 19.1 24.6 NA
## 194 10.79 19.1 24.6 NA
## 195 10.79 19.1 24.6 NA
## 196 10.79 19.1 24.6 NA
## 197 10.79 19.1 24.6 NA
## 198 10.79 19.1 24.6 NA
## 199 10.79 19.1 24.6 NA
## 200 10.79 19.1 24.6 NA
## 201 10.79 19.1 24.6 NA
## 202 10.79 19.1 24.6 NA
## 203 10.79 19.1 24.6 NA
## 204 10.79 19.1 24.6 NA
## 205 10.79 19.1 24.6 NA
## 206 10.79 19.1 24.6 NA
## 207 10.79 19.1 24.6 NA
## 208 10.79 19.1 24.6 NA
## 209 10.79 19.1 24.6 NA
## 210 10.79 19.1 24.6 NA
## 211 10.79 19.1 24.6 NA
## 212 10.79 19.1 24.6 NA
## 213 10.79 19.1 24.6 NA
## 214 10.79 19.1 24.6 NA
## 215 10.79 19.1 24.6 NA
## 216 10.79 19.1 24.6 NA
## 217 10.79 19.1 24.6 NA
## 218 10.79 19.1 24.6 NA
## 219 10.79 19.1 24.6 NA
## 220 10.79 19.1 24.6 NA
## 221 10.79 19.1 24.6 NA
## 222 10.79 19.1 24.6 NA
## 223 10.79 19.1 24.6 NA
## 224 10.79 19.1 24.6 NA
## 225 10.79 19.1 24.6 NA
## 226 10.79 19.1 24.6 NA
## 227 10.79 19.1 24.6 NA
## 228 10.79 19.1 24.6 NA
## 229 10.79 19.1 24.6 NA
## 230 10.79 19.1 24.6 NA
## 231 10.79 19.1 24.6 NA
## 232 10.79 19.1 24.6 NA
## 233 10.79 19.1 24.6 NA
## 234 10.79 19.1 24.6 NA
## 235 10.79 19.1 24.6 NA
## 236 10.79 19.1 24.6 NA
## 237 10.79 19.1 24.6 NA
## 238 10.79 19.1 24.6 NA
## 239 10.79 19.1 24.6 NA
## 240 10.79 19.1 24.6 NA
## 241 10.79 19.1 24.6 NA
## 242 10.79 19.1 24.6 NA
## 243 10.79 19.1 24.6 NA
## 244 10.79 19.1 24.6 NA
## 245 10.79 19.1 24.6 NA
## 246 10.79 19.1 24.6 NA
## 247 10.79 19.1 24.6 NA
## 248 10.79 19.1 24.6 NA
## 249 10.79 19.1 24.6 NA
## 250 10.79 19.1 24.6 NA
## 251 10.79 19.1 24.6 NA
## 252 10.79 19.1 24.6 NA
## 253 10.79 19.1 24.6 NA
## 254 10.79 19.1 24.6 NA
## 255 10.79 19.1 24.6 NA
## 256 10.79 19.1 24.6 NA
## 257 10.79 19.1 24.6 NA
## 258 10.79 19.1 24.6 NA
## 259 10.79 19.1 24.6 NA
## 260 10.79 19.1 24.6 NA
## 261 10.79 19.1 24.6 NA
## 262 10.79 19.1 24.6 NA
## 263 10.79 19.1 24.6 NA
## 264 10.79 19.1 24.6 NA
## 265 10.79 19.1 24.6 NA
## 266 10.79 19.1 24.6 NA
## 267 10.79 19.1 24.6 NA
## 268 10.79 19.1 24.6 NA
## 269 10.79 19.1 24.6 NA
## 270 10.79 19.1 24.6 NA
## 271 10.79 19.1 24.6 NA
## 272 10.79 19.1 24.6 NA
## 273 10.79 19.1 24.6 NA
## 274 10.79 19.1 24.6 NA
## 275 10.79 19.1 24.6 NA
## 276 10.79 19.1 24.6 NA
## 277 10.79 19.1 24.6 NA
## 278 10.79 19.1 24.6 NA
## 279 10.79 19.1 24.6 NA
## 280 10.79 19.1 24.6 NA
## 281 10.79 19.1 24.6 NA
## 282 10.79 19.1 24.6 NA
## 283 10.79 19.1 24.6 NA
## 284 10.79 19.1 24.6 NA
## 285 10.79 19.1 24.6 NA
## 286 10.79 19.1 24.6 NA
## 287 10.79 19.1 24.6 NA
## 288 10.79 19.1 24.6 NA
## 289 10.79 19.1 24.6 NA
## 290 10.79 19.1 24.6 NA
## 291 10.79 19.1 24.6 NA
## 292 10.79 19.1 24.6 NA
## 293 10.79 19.1 24.6 NA
## 294 10.79 19.1 24.6 NA
## 295 10.79 19.1 24.6 NA
## 296 10.79 19.1 24.6 NA
## 297 10.79 19.1 24.6 NA
## 298 10.79 19.1 24.6 NA
## 299 10.79 19.1 24.6 NA
## 300 10.79 19.1 24.6 NA
## 301 10.79 19.1 24.6 NA
## 302 10.79 19.1 24.6 NA
## 303 10.79 19.1 24.6 NA
## 304 10.79 19.1 24.6 NA
## 305 10.79 19.1 24.6 NA
## 306 10.79 19.1 24.6 NA
## 307 10.79 19.1 24.6 NA
## 308 10.79 19.1 24.6 NA
## 309 10.79 19.1 24.6 NA
## 310 10.79 19.1 24.6 NA
## 311 10.79 19.1 24.6 NA
## 312 10.79 19.1 24.6 NA
## 313 10.79 19.1 24.6 NA
## 314 10.79 19.1 24.6 NA
## 315 10.79 19.1 24.6 NA
## 316 10.79 19.1 24.6 NA
## 317 10.79 19.1 24.6 NA
## 318 10.79 19.1 24.6 NA
## 319 10.79 19.1 24.6 NA
## 320 10.79 19.1 24.6 NA
## 321 10.79 19.1 24.6 NA
## 322 10.79 19.1 24.6 NA
## 323 10.79 19.1 24.6 NA
## 324 10.79 19.1 24.6 NA
## 325 10.79 19.1 24.6 NA
## 326 10.79 19.1 24.6 NA
## 327 10.79 19.1 24.6 NA
## 328 10.79 19.1 24.6 NA
## 329 10.79 19.1 24.6 NA
## 330 10.79 19.1 24.6 NA
## 331 10.79 19.1 24.6 NA
## 332 10.79 19.1 24.6 NA
## 333 10.79 19.1 24.6 NA
## 334 10.79 19.1 24.6 NA
## 335 10.79 19.1 24.6 NA
## 336 10.79 19.1 24.6 NA
## 337 10.79 19.1 24.6 NA
## 338 10.79 19.1 24.6 NA
## 339 10.79 19.1 24.6 NA
## 340 10.79 19.1 24.6 NA
## 341 10.79 19.1 24.6 NA
## 342 10.79 19.1 24.6 NA
## 343 10.79 19.1 24.6 NA
## 344 10.79 19.1 24.6 NA
## 345 10.79 19.1 24.6 NA
## 346 10.79 19.1 24.6 NA
## 347 10.79 19.1 24.6 NA
## 348 10.79 19.1 24.6 NA
## 349 10.79 19.1 24.6 NA
## 350 10.79 19.1 24.6 NA
## 351 10.79 19.1 24.6 NA
## 352 10.79 19.1 24.6 NA
## 353 10.79 19.1 24.6 NA
## 354 10.79 19.1 24.6 NA
## 355 10.79 19.1 24.6 NA
## 356 10.79 19.1 24.6 NA
## 357 10.79 19.1 24.6 NA
## 358 10.79 19.1 24.6 NA
## 359 10.79 19.1 24.6 NA
## 360 10.79 19.1 24.6 NA
## 361 10.79 19.1 24.6 NA
## 362 10.79 19.1 24.6 NA
## 363 10.79 19.1 24.6 NA
## 364 10.79 19.1 24.6 NA
## 365 10.79 19.1 24.6 NA
## 366 10.79 19.1 24.6 NA
## 367 10.79 19.1 24.6 NA
## 368 10.79 19.1 24.6 NA
## 369 10.79 19.1 24.6 NA
## 370 10.79 19.1 24.6 NA
## 371 10.79 19.1 24.6 NA
## 372 10.79 19.1 24.6 NA
## 373 10.79 19.1 24.6 NA
## 374 10.79 19.1 24.6 NA
## 375 10.79 19.1 24.6 NA
## 376 10.79 19.1 24.6 NA
## 377 10.79 19.1 24.6 NA
## 378 10.79 19.1 24.6 NA
## 379 10.79 19.1 24.6 NA
## 380 10.79 19.1 24.6 NA
## 381 10.79 19.1 24.6 NA
## 382 10.79 19.1 24.6 NA
## 383 10.79 19.1 24.6 NA
## 384 10.79 19.1 24.6 NA
## 385 10.79 19.1 24.6 NA
## 386 10.79 19.1 24.6 NA
## 387 10.79 19.1 24.6 NA
## 388 10.79 19.1 24.6 NA
## 389 10.79 19.1 24.6 NA
## 390 10.79 19.1 24.6 NA
## 391 10.79 19.1 24.6 NA
## 392 10.79 19.1 24.6 NA
## 393 10.79 19.1 24.6 NA
## 394 10.79 19.1 24.6 NA
## 395 10.79 19.1 24.6 NA
## 396 10.79 19.1 24.6 NA
## 397 10.79 19.1 24.6 NA
## 398 10.79 19.1 24.6 NA
## 399 10.79 19.1 24.6 NA
## 400 10.79 19.1 24.6 NA
## 401 10.79 19.1 24.6 NA
## 402 10.79 19.1 24.6 NA
## 403 10.79 19.1 24.6 NA
## 404 10.79 19.1 24.6 NA
## 405 10.79 19.1 24.6 NA
## 406 10.79 19.1 24.6 NA
## 407 10.79 19.1 24.6 NA
## 408 10.79 19.1 24.6 NA
## 409 10.79 19.1 24.6 NA
## 410 10.79 19.1 24.6 NA
## 411 10.79 19.1 24.6 NA
## 412 10.79 19.1 24.6 NA
## 413 10.79 19.1 24.6 NA
## 414 10.79 19.1 24.6 NA
## 415 10.79 19.1 24.6 NA
## 416 10.79 19.1 24.6 NA
## 417 10.79 19.1 24.6 NA
## 418 10.79 19.1 24.6 NA
## 419 10.79 19.1 24.6 NA
## 420 10.79 19.1 24.6 NA
## 421 10.79 19.1 24.6 NA
## 422 10.79 19.1 24.6 NA
## 423 10.79 19.1 24.6 NA
## 424 10.79 19.1 24.6 NA
## 425 10.79 19.1 24.6 NA
## 426 10.79 19.1 24.6 NA
## 427 10.79 19.1 24.6 NA
## 428 10.79 19.1 24.6 NA
## 429 10.79 19.1 24.6 NA
## 430 10.79 19.1 24.6 NA
## 431 10.79 19.1 24.6 NA
## 432 10.79 19.1 24.6 NA
## 433 10.79 19.1 24.6 NA
## 434 10.79 19.1 24.6 NA
## 435 10.79 19.1 24.6 NA
## 436 10.79 19.1 24.6 NA
## 437 10.79 19.1 24.6 NA
## 438 10.79 19.1 24.6 NA
## 439 10.79 19.1 24.6 NA
## 440 10.79 19.1 24.6 NA
## 441 10.79 19.1 24.6 NA
## 442 10.79 19.1 24.6 NA
## 443 10.79 19.1 24.6 NA
## 444 10.79 19.1 24.6 NA
## 445 10.79 19.1 24.6 NA
## 446 10.79 19.1 24.6 NA
## 447 10.79 19.1 24.6 NA
## 448 10.79 19.1 24.6 NA
## 449 10.79 19.1 24.6 NA
## 450 10.79 19.1 24.6 NA
## 451 10.79 19.1 24.6 NA
## 452 10.79 19.1 24.6 NA
## 453 10.79 19.1 24.6 NA
## 454 10.79 19.1 24.6 NA
## 455 10.79 19.1 24.6 NA
## 456 10.79 19.1 24.6 NA
## 457 10.79 19.1 24.6 NA
## 458 10.79 19.1 24.6 NA
## 459 10.79 19.1 24.6 NA
## 460 10.79 19.1 24.6 NA
## 461 10.79 19.1 24.6 NA
## 462 10.79 19.1 24.6 NA
## 463 10.79 19.1 24.6 NA
## 464 10.79 19.1 24.6 NA
## 465 10.79 19.1 24.6 NA
## 466 10.79 19.1 24.6 NA
## 467 10.79 19.1 24.6 NA
## 468 10.79 19.1 24.6 NA
## 469 10.79 19.1 24.6 NA
## 470 10.79 19.1 24.6 NA
## 471 10.79 19.1 24.6 NA
## 472 10.79 19.1 24.6 NA
## 473 10.79 19.1 24.6 NA
## 474 10.79 19.1 24.6 NA
## 475 10.79 19.1 24.6 NA
## 476 10.79 19.1 24.6 NA
## 477 10.79 19.1 24.6 NA
## 478 10.79 19.1 24.6 NA
## 479 10.79 19.1 24.6 NA
## 480 10.79 19.1 24.6 NA
## 481 10.79 19.1 24.6 NA
## 482 10.79 19.1 24.6 NA
## 483 10.79 19.1 24.6 NA
## 484 10.79 19.1 24.6 NA
## 485 10.79 19.1 24.6 NA
## 486 10.79 19.1 24.6 NA
## 487 10.79 19.1 24.6 NA
## 488 10.79 19.1 24.6 NA
## 489 10.79 19.1 24.6 NA
## 490 10.79 19.1 24.6 NA
## 491 10.79 19.1 24.6 NA
## 492 10.79 19.1 24.6 NA
## 493 10.79 19.1 24.6 NA
## 494 10.79 19.1 24.6 NA
## 495 10.79 19.1 24.6 NA
## 496 10.79 19.1 24.6 NA
## 497 10.79 19.1 24.6 NA
## 498 10.79 19.1 24.6 NA
## 499 10.79 19.1 24.6 NA
## 500 10.79 19.1 24.6 NA
## 501 10.79 19.1 24.6 NA
## 502 10.79 19.1 24.6 NA
## 503 10.79 19.1 24.6 NA
## 504 10.79 19.1 24.6 NA
## 505 10.79 19.1 24.6 NA
## 506 10.79 19.1 24.6 NA
## 507 10.79 19.1 24.6 NA
## 508 10.79 19.1 24.6 NA
## 509 10.79 19.1 24.6 NA
## 510 10.79 19.1 24.6 NA
## 511 10.79 19.1 24.6 NA
## 512 10.79 19.1 24.6 NA
## 513 10.79 19.1 24.6 NA
## 514 10.79 19.1 24.6 NA
## 515 10.79 19.1 24.6 NA
## 516 10.79 19.1 24.6 NA
## 517 10.79 19.1 24.6 NA
## 518 10.79 19.1 24.6 NA
## 519 10.79 19.1 24.6 NA
## 520 10.79 19.1 24.6 NA
## 521 10.79 19.1 24.6 NA
## 522 10.79 19.1 24.6 NA
## 523 10.79 19.1 24.6 NA
## 524 10.79 19.1 24.6 NA
## 525 10.79 19.1 24.6 NA
## 526 10.79 19.1 24.6 NA
## 527 10.79 19.1 24.6 NA
## 528 10.79 19.1 24.6 NA
## 529 10.79 19.1 24.6 NA
## 530 10.79 19.1 24.6 NA
## 531 10.79 19.1 24.6 NA
## 532 10.79 19.1 24.6 NA
## 533 10.79 19.1 24.6 NA
## 534 10.79 19.1 24.6 NA
## 535 10.79 19.1 24.6 NA
## 536 10.79 19.1 24.6 NA
## 537 10.79 19.1 24.6 NA
## 538 10.79 19.1 24.6 NA
## 539 10.79 19.1 24.6 NA
## 540 10.79 19.1 24.6 NA
## 541 10.79 19.1 24.6 NA
## 542 10.79 19.1 24.6 NA
## 543 10.79 19.1 24.6 NA
## 544 10.79 19.1 24.6 NA
## 545 10.79 19.1 24.6 NA
## 546 10.79 19.1 24.6 NA
## 547 10.79 19.1 24.6 NA
## 548 10.79 19.1 24.6 NA
## 549 10.79 19.1 24.6 NA
## 550 10.79 19.1 24.6 NA
## 551 10.79 19.1 24.6 NA
## 552 10.79 19.1 24.6 NA
## 553 10.79 19.1 24.6 NA
## 554 10.79 19.1 24.6 NA
## 555 10.79 19.1 24.6 NA
## 556 10.79 19.1 24.6 NA
## 557 10.79 19.1 24.6 NA
## 558 10.79 19.1 24.6 NA
## 559 10.79 19.1 24.6 NA
## 560 10.79 19.1 24.6 NA
## 561 10.79 19.1 24.6 NA
## 562 10.79 19.1 24.6 NA
## 563 10.79 19.1 24.6 NA
## 564 10.79 19.1 24.6 NA
## 565 10.79 19.1 24.6 NA
## 566 10.79 19.1 24.6 NA
## 567 10.79 19.1 24.6 NA
## 568 10.79 19.1 24.6 NA
## 569 10.79 19.1 24.6 NA
## 570 10.79 19.1 24.6 NA
## 571 10.79 19.1 24.6 NA
## 572 10.79 19.1 24.6 NA
## 573 10.79 19.1 24.6 NA
## 574 10.79 19.1 24.6 NA
## 575 10.79 19.1 24.6 NA
## 576 10.79 19.1 24.6 NA
## 577 10.79 19.1 24.6 NA
## 578 10.79 19.1 24.6 NA
## 579 10.79 19.1 24.6 NA
## 580 10.79 19.1 24.6 NA
## 581 10.79 19.1 24.6 NA
## 582 10.79 19.1 24.6 NA
## 583 10.79 19.1 24.6 NA
## 584 10.79 19.1 24.6 NA
## 585 10.79 19.1 24.6 NA
## 586 10.79 19.1 24.6 NA
## 587 10.79 19.1 24.6 NA
## 588 10.79 19.1 24.6 NA
## 589 10.79 19.1 24.6 NA
## 590 10.79 19.1 24.6 NA
## 591 10.79 19.1 24.6 NA
## 592 10.79 19.1 24.6 NA
## 593 10.79 19.1 24.6 NA
## 594 10.79 19.1 24.6 NA
## 595 10.79 19.1 24.6 NA
## 596 10.79 19.1 24.6 NA
## 597 10.79 19.1 24.6 NA
## 598 10.79 19.1 24.6 NA
## 599 10.79 19.1 24.6 NA
## 600 10.79 19.1 24.6 NA
## 601 10.79 19.1 24.6 NA
## 602 10.79 19.1 24.6 NA
## 603 10.79 19.1 24.6 NA
## 604 10.79 19.1 24.6 NA
## 605 10.79 19.1 24.6 NA
## 606 10.79 19.1 24.6 NA
## 607 10.79 19.1 24.6 NA
## 608 10.79 19.1 24.6 NA
## 609 10.79 19.1 24.6 NA
## 610 10.79 19.1 24.6 NA
## 611 10.79 19.1 24.6 NA
## 612 10.79 19.1 24.6 NA
## 613 10.79 19.1 24.6 NA
## 614 10.79 19.1 24.6 NA
## 615 10.79 19.1 24.6 NA
## 616 10.79 19.1 24.6 NA
## 617 10.79 19.1 24.6 NA
## 618 10.79 19.1 24.6 NA
## 619 10.79 19.1 24.6 NA
## 620 10.79 19.1 24.6 NA
## 621 10.79 19.1 24.6 NA
## 622 10.79 19.1 24.6 NA
## 623 10.79 19.1 24.6 NA
## 624 10.79 19.1 24.6 NA
## 625 10.79 19.1 24.6 NA
## 626 10.79 19.1 24.6 NA
## 627 10.79 19.1 24.6 NA
## 628 10.79 19.1 24.6 NA
## 629 10.79 19.1 24.6 NA
## 630 10.79 19.1 24.6 NA
## 631 10.79 19.1 24.6 NA
## 632 10.79 19.1 24.6 NA
## 633 10.79 19.1 24.6 NA
## 634 10.79 19.1 24.6 NA
## 635 10.79 19.1 24.6 NA
## 636 10.79 19.1 24.6 NA
## 637 10.79 19.1 24.6 NA
## 638 10.79 19.1 24.6 NA
## 639 10.79 19.1 24.6 NA
## 640 10.79 19.1 24.6 NA
## 641 10.79 19.1 24.6 NA
## 642 10.79 19.1 24.6 NA
## 643 10.79 19.1 24.6 NA
## 644 10.79 19.1 24.6 NA
## 645 10.79 19.1 24.6 NA
## 646 10.79 19.1 24.6 NA
## 647 10.79 19.1 24.6 NA
## 648 10.79 19.1 24.6 NA
## 649 10.79 19.1 24.6 NA
## 650 10.79 19.1 24.6 NA
## 651 10.79 19.1 24.6 NA
## 652 10.79 19.1 24.6 NA
## 653 10.79 19.1 24.6 NA
## 654 10.79 19.1 24.6 NA
## 655 10.79 19.1 24.6 NA
## 656 10.79 19.1 24.6 NA
## 657 10.79 19.1 24.6 NA
## 658 10.79 19.1 24.6 NA
## 659 10.79 19.1 24.6 NA
## 660 10.79 19.1 24.6 NA
## 661 10.79 19.1 24.6 NA
## 662 10.79 19.1 24.6 NA
## 663 10.79 19.1 24.6 NA
## 664 10.79 19.1 24.6 NA
## 665 10.79 19.1 24.6 NA
## 666 10.79 19.1 24.6 NA
## 667 10.79 19.1 24.6 NA
## 668 10.79 19.1 24.6 NA
## 669 10.79 19.1 24.6 NA
## 670 10.79 19.1 24.6 NA
## 671 10.79 19.1 24.6 NA
## 672 10.79 19.1 24.6 NA
## 673 10.79 19.1 24.6 NA
## 674 10.79 19.1 24.6 NA
## 675 10.79 19.1 24.6 NA
## 676 10.79 19.1 24.6 NA
## 677 10.79 19.1 24.6 NA
## 678 10.79 19.1 24.6 NA
## 679 10.79 19.1 24.6 NA
## 680 10.79 19.1 24.6 NA
## 681 10.79 19.1 24.6 NA
## 682 10.79 19.1 24.6 NA
## 683 10.79 19.1 24.6 NA
## 684 10.79 19.1 24.6 NA
## 685 10.79 19.1 24.6 NA
## 686 10.79 19.1 24.6 NA
## 687 10.79 19.1 24.6 NA
## 688 10.79 19.1 24.6 NA
## 689 10.79 19.1 24.6 NA
## 690 10.79 19.1 24.6 NA
## 691 10.79 19.1 24.6 NA
## 692 10.79 19.1 24.6 NA
## 693 10.79 19.1 24.6 NA
## 694 10.79 19.1 24.6 NA
## 695 10.79 19.1 24.6 NA
## 696 10.79 19.1 24.6 NA
## 697 10.79 19.1 24.6 NA
## 698 10.79 19.1 24.6 NA
## 699 10.79 19.1 24.6 NA
## 700 10.79 19.1 24.6 NA
## 701 10.79 19.1 24.6 NA
## 702 10.79 19.1 24.6 NA
## 703 10.79 19.1 24.6 NA
## 704 10.79 19.1 24.6 NA
## 705 10.79 19.1 24.6 NA
## 706 10.79 19.1 24.6 NA
## 707 10.79 19.1 24.6 NA
## 708 10.79 19.1 24.6 NA
## 709 10.79 19.1 24.6 NA
## 710 10.79 19.1 24.6 NA
## 711 10.79 19.1 24.6 NA
## 712 10.79 19.1 24.6 NA
## 713 10.79 19.1 24.6 NA
## 714 10.79 19.1 24.6 NA
## 715 10.79 19.1 24.6 NA
## 716 10.79 19.1 24.6 NA
## 717 10.79 19.1 24.6 NA
## 718 10.79 19.1 24.6 NA
## 719 10.79 19.1 24.6 NA
## 720 10.79 19.1 24.6 NA
## 721 10.79 19.1 24.6 NA
## 722 10.79 19.1 24.6 NA
## 723 10.79 19.1 24.6 NA
## 724 10.79 19.1 24.6 NA
## 725 10.79 19.1 24.6 NA
## 726 10.79 19.1 24.6 NA
## 727 10.79 19.1 24.6 NA
## 728 10.79 19.1 24.6 NA
## 729 10.79 19.1 24.6 NA
## 730 10.79 19.1 24.6 NA
## 731 10.79 19.1 24.6 NA
## 732 10.79 19.1 24.6 NA
## 733 10.79 19.1 24.6 NA
## 734 10.79 19.1 24.6 NA
## 735 10.79 19.1 24.6 NA
## 736 10.79 19.1 24.6 NA
## 737 10.79 19.1 24.6 NA
## 738 10.79 19.1 24.6 NA
## 739 10.79 19.1 24.6 NA
## 740 10.79 19.1 24.6 NA
## 741 10.79 19.1 24.6 NA
## 742 10.79 19.1 24.6 NA
## 743 10.79 19.1 24.6 NA
## 744 10.79 19.1 24.6 NA
## 745 10.79 19.1 24.6 NA
## 746 10.79 19.1 24.6 NA
## 747 10.79 19.1 24.6 NA
## 748 10.79 19.1 24.6 NA
## 749 10.79 19.1 24.6 NA
## 750 10.79 19.1 24.6 NA
## 751 10.79 19.1 24.6 NA
## 752 10.79 19.1 24.6 NA
## 753 10.79 19.1 24.6 NA
## 754 10.79 19.1 24.6 NA
## 755 10.79 19.1 24.6 NA
## 756 10.79 19.1 24.6 NA
## 757 10.79 19.1 24.6 NA
## 758 10.79 19.1 24.6 NA
## 759 10.79 19.1 24.6 NA
## 760 10.79 19.1 24.6 NA
## 761 10.79 19.1 24.6 NA
## 762 10.79 19.1 24.6 NA
## 763 10.79 19.1 24.6 NA
## 764 10.79 19.1 24.6 NA
## 765 10.79 19.1 24.6 NA
## 766 10.79 19.1 24.6 NA
## 767 10.79 19.1 24.6 NA
## 768 10.79 19.1 24.6 NA
## 769 10.79 19.1 24.6 NA
## 770 10.79 19.1 24.6 NA
## 771 10.79 19.1 24.6 NA
## 772 10.79 19.1 24.6 NA
## 773 10.79 19.1 24.6 NA
## 774 10.79 19.1 24.6 NA
## 775 10.79 19.1 24.6 NA
## 776 10.79 19.1 24.6 NA
## 777 10.79 19.1 24.6 NA
## 778 10.79 19.1 24.6 NA
## 779 10.79 19.1 24.6 NA
## 780 10.79 19.1 24.6 NA
## 781 10.79 19.1 24.6 NA
## 782 10.79 19.1 24.6 NA
## 783 10.79 19.1 24.6 NA
## 784 10.79 19.1 24.6 NA
## 785 10.79 19.1 24.6 NA
## 786 10.79 19.1 24.6 NA
## 787 10.79 19.1 24.6 NA
## 788 10.79 19.1 24.6 NA
## 789 10.79 19.1 24.6 NA
## 790 10.79 19.1 24.6 NA
## 791 10.79 19.1 24.6 NA
## 792 10.79 19.1 24.6 NA
## 793 10.79 19.1 24.6 NA
## 794 10.79 19.1 24.6 NA
## 795 10.79 19.1 24.6 NA
## hospital_beds_per_thousand life_expectancy human_development_index
## 1 2.77 78.86 0.926
## 2 2.77 78.86 0.926
## 3 2.77 78.86 0.926
## 4 2.77 78.86 0.926
## 5 2.77 78.86 0.926
## 6 2.77 78.86 0.926
## 7 2.77 78.86 0.926
## 8 2.77 78.86 0.926
## 9 2.77 78.86 0.926
## 10 2.77 78.86 0.926
## 11 2.77 78.86 0.926
## 12 2.77 78.86 0.926
## 13 2.77 78.86 0.926
## 14 2.77 78.86 0.926
## 15 2.77 78.86 0.926
## 16 2.77 78.86 0.926
## 17 2.77 78.86 0.926
## 18 2.77 78.86 0.926
## 19 2.77 78.86 0.926
## 20 2.77 78.86 0.926
## 21 2.77 78.86 0.926
## 22 2.77 78.86 0.926
## 23 2.77 78.86 0.926
## 24 2.77 78.86 0.926
## 25 2.77 78.86 0.926
## 26 2.77 78.86 0.926
## 27 2.77 78.86 0.926
## 28 2.77 78.86 0.926
## 29 2.77 78.86 0.926
## 30 2.77 78.86 0.926
## 31 2.77 78.86 0.926
## 32 2.77 78.86 0.926
## 33 2.77 78.86 0.926
## 34 2.77 78.86 0.926
## 35 2.77 78.86 0.926
## 36 2.77 78.86 0.926
## 37 2.77 78.86 0.926
## 38 2.77 78.86 0.926
## 39 2.77 78.86 0.926
## 40 2.77 78.86 0.926
## 41 2.77 78.86 0.926
## 42 2.77 78.86 0.926
## 43 2.77 78.86 0.926
## 44 2.77 78.86 0.926
## 45 2.77 78.86 0.926
## 46 2.77 78.86 0.926
## 47 2.77 78.86 0.926
## 48 2.77 78.86 0.926
## 49 2.77 78.86 0.926
## 50 2.77 78.86 0.926
## 51 2.77 78.86 0.926
## 52 2.77 78.86 0.926
## 53 2.77 78.86 0.926
## 54 2.77 78.86 0.926
## 55 2.77 78.86 0.926
## 56 2.77 78.86 0.926
## 57 2.77 78.86 0.926
## 58 2.77 78.86 0.926
## 59 2.77 78.86 0.926
## 60 2.77 78.86 0.926
## 61 2.77 78.86 0.926
## 62 2.77 78.86 0.926
## 63 2.77 78.86 0.926
## 64 2.77 78.86 0.926
## 65 2.77 78.86 0.926
## 66 2.77 78.86 0.926
## 67 2.77 78.86 0.926
## 68 2.77 78.86 0.926
## 69 2.77 78.86 0.926
## 70 2.77 78.86 0.926
## 71 2.77 78.86 0.926
## 72 2.77 78.86 0.926
## 73 2.77 78.86 0.926
## 74 2.77 78.86 0.926
## 75 2.77 78.86 0.926
## 76 2.77 78.86 0.926
## 77 2.77 78.86 0.926
## 78 2.77 78.86 0.926
## 79 2.77 78.86 0.926
## 80 2.77 78.86 0.926
## 81 2.77 78.86 0.926
## 82 2.77 78.86 0.926
## 83 2.77 78.86 0.926
## 84 2.77 78.86 0.926
## 85 2.77 78.86 0.926
## 86 2.77 78.86 0.926
## 87 2.77 78.86 0.926
## 88 2.77 78.86 0.926
## 89 2.77 78.86 0.926
## 90 2.77 78.86 0.926
## 91 2.77 78.86 0.926
## 92 2.77 78.86 0.926
## 93 2.77 78.86 0.926
## 94 2.77 78.86 0.926
## 95 2.77 78.86 0.926
## 96 2.77 78.86 0.926
## 97 2.77 78.86 0.926
## 98 2.77 78.86 0.926
## 99 2.77 78.86 0.926
## 100 2.77 78.86 0.926
## 101 2.77 78.86 0.926
## 102 2.77 78.86 0.926
## 103 2.77 78.86 0.926
## 104 2.77 78.86 0.926
## 105 2.77 78.86 0.926
## 106 2.77 78.86 0.926
## 107 2.77 78.86 0.926
## 108 2.77 78.86 0.926
## 109 2.77 78.86 0.926
## 110 2.77 78.86 0.926
## 111 2.77 78.86 0.926
## 112 2.77 78.86 0.926
## 113 2.77 78.86 0.926
## 114 2.77 78.86 0.926
## 115 2.77 78.86 0.926
## 116 2.77 78.86 0.926
## 117 2.77 78.86 0.926
## 118 2.77 78.86 0.926
## 119 2.77 78.86 0.926
## 120 2.77 78.86 0.926
## 121 2.77 78.86 0.926
## 122 2.77 78.86 0.926
## 123 2.77 78.86 0.926
## 124 2.77 78.86 0.926
## 125 2.77 78.86 0.926
## 126 2.77 78.86 0.926
## 127 2.77 78.86 0.926
## 128 2.77 78.86 0.926
## 129 2.77 78.86 0.926
## 130 2.77 78.86 0.926
## 131 2.77 78.86 0.926
## 132 2.77 78.86 0.926
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## 707 2.77 78.86 0.926
## 708 2.77 78.86 0.926
## 709 2.77 78.86 0.926
## 710 2.77 78.86 0.926
## 711 2.77 78.86 0.926
## 712 2.77 78.86 0.926
## 713 2.77 78.86 0.926
## 714 2.77 78.86 0.926
## 715 2.77 78.86 0.926
## 716 2.77 78.86 0.926
## 717 2.77 78.86 0.926
## 718 2.77 78.86 0.926
## 719 2.77 78.86 0.926
## 720 2.77 78.86 0.926
## 721 2.77 78.86 0.926
## 722 2.77 78.86 0.926
## 723 2.77 78.86 0.926
## 724 2.77 78.86 0.926
## 725 2.77 78.86 0.926
## 726 2.77 78.86 0.926
## 727 2.77 78.86 0.926
## 728 2.77 78.86 0.926
## 729 2.77 78.86 0.926
## 730 2.77 78.86 0.926
## 731 2.77 78.86 0.926
## 732 2.77 78.86 0.926
## 733 2.77 78.86 0.926
## 734 2.77 78.86 0.926
## 735 2.77 78.86 0.926
## 736 2.77 78.86 0.926
## 737 2.77 78.86 0.926
## 738 2.77 78.86 0.926
## 739 2.77 78.86 0.926
## 740 2.77 78.86 0.926
## 741 2.77 78.86 0.926
## 742 2.77 78.86 0.926
## 743 2.77 78.86 0.926
## 744 2.77 78.86 0.926
## 745 2.77 78.86 0.926
## 746 2.77 78.86 0.926
## 747 2.77 78.86 0.926
## 748 2.77 78.86 0.926
## 749 2.77 78.86 0.926
## 750 2.77 78.86 0.926
## 751 2.77 78.86 0.926
## 752 2.77 78.86 0.926
## 753 2.77 78.86 0.926
## 754 2.77 78.86 0.926
## 755 2.77 78.86 0.926
## 756 2.77 78.86 0.926
## 757 2.77 78.86 0.926
## 758 2.77 78.86 0.926
## 759 2.77 78.86 0.926
## 760 2.77 78.86 0.926
## 761 2.77 78.86 0.926
## 762 2.77 78.86 0.926
## 763 2.77 78.86 0.926
## 764 2.77 78.86 0.926
## 765 2.77 78.86 0.926
## 766 2.77 78.86 0.926
## 767 2.77 78.86 0.926
## 768 2.77 78.86 0.926
## 769 2.77 78.86 0.926
## 770 2.77 78.86 0.926
## 771 2.77 78.86 0.926
## 772 2.77 78.86 0.926
## 773 2.77 78.86 0.926
## 774 2.77 78.86 0.926
## 775 2.77 78.86 0.926
## 776 2.77 78.86 0.926
## 777 2.77 78.86 0.926
## 778 2.77 78.86 0.926
## 779 2.77 78.86 0.926
## 780 2.77 78.86 0.926
## 781 2.77 78.86 0.926
## 782 2.77 78.86 0.926
## 783 2.77 78.86 0.926
## 784 2.77 78.86 0.926
## 785 2.77 78.86 0.926
## 786 2.77 78.86 0.926
## 787 2.77 78.86 0.926
## 788 2.77 78.86 0.926
## 789 2.77 78.86 0.926
## 790 2.77 78.86 0.926
## 791 2.77 78.86 0.926
## 792 2.77 78.86 0.926
## 793 2.77 78.86 0.926
## 794 2.77 78.86 0.926
## 795 2.77 78.86 0.926
## excess_mortality_cumulative_absolute excess_mortality_cumulative
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 -8926.0 -3.59
## 6 NA NA
## 7 NA NA
## 8 NA NA
## 9 NA NA
## 10 NA NA
## 11 NA NA
## 12 -10525.0 -3.41
## 13 NA NA
## 14 NA NA
## 15 NA NA
## 16 NA NA
## 17 NA NA
## 18 NA NA
## 19 -11620.8 -3.15
## 20 NA NA
## 21 NA NA
## 22 NA NA
## 23 NA NA
## 24 NA NA
## 25 NA NA
## 26 -13050.4 -3.04
## 27 NA NA
## 28 NA NA
## 29 NA NA
## 30 NA NA
## 31 NA NA
## 32 NA NA
## 33 -13679.0 -2.80
## 34 NA NA
## 35 NA NA
## 36 NA NA
## 37 NA NA
## 38 NA NA
## 39 NA NA
## 40 -13622.6 -2.48
## 41 NA NA
## 42 NA NA
## 43 NA NA
## 44 NA NA
## 45 NA NA
## 46 NA NA
## 47 -13354.2 -2.20
## 48 NA NA
## 49 NA NA
## 50 NA NA
## 51 NA NA
## 52 NA NA
## 53 NA NA
## 54 -13082.4 -1.96
## 55 NA NA
## 56 NA NA
## 57 NA NA
## 58 NA NA
## 59 NA NA
## 60 NA NA
## 61 -11907.2 -1.64
## 62 NA NA
## 63 NA NA
## 64 NA NA
## 65 NA NA
## 66 NA NA
## 67 NA NA
## 68 -6190.8 -0.79
## 69 NA NA
## 70 NA NA
## 71 NA NA
## 72 NA NA
## 73 NA NA
## 74 NA NA
## 75 8894.6 1.06
## 76 NA NA
## 77 NA NA
## 78 NA NA
## 79 NA NA
## 80 NA NA
## 81 NA NA
## 82 31169.4 3.48
## 83 NA NA
## 84 NA NA
## 85 NA NA
## 86 NA NA
## 87 NA NA
## 88 NA NA
## 89 52291.0 5.50
## 90 NA NA
## 91 NA NA
## 92 NA NA
## 93 NA NA
## 94 NA NA
## 95 NA NA
## 96 71140.4 7.07
## 97 NA NA
## 98 NA NA
## 99 NA NA
## 100 NA NA
## 101 NA NA
## 102 NA NA
## 103 85357.2 8.04
## 104 NA NA
## 105 NA NA
## 106 NA NA
## 107 NA NA
## 108 NA NA
## 109 NA NA
## 110 97905.4 8.78
## 111 NA NA
## 112 NA NA
## 113 NA NA
## 114 NA NA
## 115 NA NA
## 116 NA NA
## 117 108674.2 9.29
## 118 NA NA
## 119 NA NA
## 120 NA NA
## 121 NA NA
## 122 NA NA
## 123 NA NA
## 124 116693.8 9.54
## 125 NA NA
## 126 NA NA
## 127 NA NA
## 128 NA NA
## 129 NA NA
## 130 NA NA
## 131 123146.2 9.65
## 132 NA NA
## 133 NA NA
## 134 NA NA
## 135 NA NA
## 136 NA NA
## 137 NA NA
## 138 128374.0 9.65
## 139 NA NA
## 140 NA NA
## 141 NA NA
## 142 NA NA
## 143 NA NA
## 144 NA NA
## 145 133196.4 9.63
## 146 NA NA
## 147 NA NA
## 148 NA NA
## 149 NA NA
## 150 NA NA
## 151 NA NA
## 152 138118.6 9.62
## 153 NA NA
## 154 NA NA
## 155 NA NA
## 156 NA NA
## 157 NA NA
## 158 NA NA
## 159 143674.8 9.65
## 160 NA NA
## 161 NA NA
## 162 NA NA
## 163 NA NA
## 164 NA NA
## 165 NA NA
## 166 150339.4 9.75
## 167 NA NA
## 168 NA NA
## 169 NA NA
## 170 NA NA
## 171 NA NA
## 172 NA NA
## 173 159449.2 10.00
## 174 NA NA
## 175 NA NA
## 176 NA NA
## 177 NA NA
## 178 NA NA
## 179 NA NA
## 180 170134.8 10.33
## 181 NA NA
## 182 NA NA
## 183 NA NA
## 184 NA NA
## 185 NA NA
## 186 NA NA
## 187 182008.6 10.71
## 188 NA NA
## 189 NA NA
## 190 NA NA
## 191 NA NA
## 192 NA NA
## 193 NA NA
## 194 193810.6 11.06
## 195 NA NA
## 196 NA NA
## 197 NA NA
## 198 NA NA
## 199 NA NA
## 200 NA NA
## 201 204923.2 11.36
## 202 NA NA
## 203 NA NA
## 204 NA NA
## 205 NA NA
## 206 NA NA
## 207 NA NA
## 208 216190.6 11.64
## 209 NA NA
## 210 NA NA
## 211 NA NA
## 212 NA NA
## 213 NA NA
## 214 NA NA
## 215 226517.8 11.86
## 216 NA NA
## 217 NA NA
## 218 NA NA
## 219 NA NA
## 220 NA NA
## 221 NA NA
## 222 235006.8 11.98
## 223 NA NA
## 224 NA NA
## 225 NA NA
## 226 NA NA
## 227 NA NA
## 228 NA NA
## 229 242421.0 12.03
## 230 NA NA
## 231 NA NA
## 232 NA NA
## 233 NA NA
## 234 NA NA
## 235 NA NA
## 236 249000.2 12.04
## 237 NA NA
## 238 NA NA
## 239 NA NA
## 240 NA NA
## 241 NA NA
## 242 NA NA
## 243 255555.4 12.05
## 244 NA NA
## 245 NA NA
## 246 NA NA
## 247 NA NA
## 248 NA NA
## 249 NA NA
## 250 262897.4 12.09
## 251 NA NA
## 252 NA NA
## 253 NA NA
## 254 NA NA
## 255 NA NA
## 256 NA NA
## 257 268359.6 12.04
## 258 NA NA
## 259 NA NA
## 260 NA NA
## 261 NA NA
## 262 NA NA
## 263 NA NA
## 264 275965.0 12.09
## 265 NA NA
## 266 NA NA
## 267 NA NA
## 268 NA NA
## 269 NA NA
## 270 NA NA
## 271 281786.2 12.06
## 272 NA NA
## 273 NA NA
## 274 NA NA
## 275 NA NA
## 276 NA NA
## 277 NA NA
## 278 289005.4 12.08
## 279 NA NA
## 280 NA NA
## 281 NA NA
## 282 NA NA
## 283 NA NA
## 284 NA NA
## 285 297111.8 12.14
## 286 NA NA
## 287 NA NA
## 288 NA NA
## 289 NA NA
## 290 NA NA
## 291 NA NA
## 292 309083.2 12.35
## 293 NA NA
## 294 NA NA
## 295 NA NA
## 296 NA NA
## 297 NA NA
## 298 NA NA
## 299 321532.4 12.56
## 300 NA NA
## 301 NA NA
## 302 NA NA
## 303 NA NA
## 304 NA NA
## 305 NA NA
## 306 336796.0 12.88
## 307 NA NA
## 308 NA NA
## 309 NA NA
## 310 NA NA
## 311 NA NA
## 312 NA NA
## 313 353248.6 13.22
## 314 NA NA
## 315 NA NA
## 316 NA NA
## 317 NA NA
## 318 NA NA
## 319 NA NA
## 320 372660.8 13.65
## 321 NA NA
## 322 NA NA
## 323 NA NA
## 324 NA NA
## 325 NA NA
## 326 NA NA
## 327 396252.8 14.21
## 328 NA NA
## 329 NA NA
## 330 NA NA
## 331 NA NA
## 332 NA NA
## 333 NA NA
## 334 420008.8 14.75
## 335 NA NA
## 336 NA NA
## 337 NA NA
## 338 NA NA
## 339 NA NA
## 340 NA NA
## 341 444722.2 15.29
## 342 NA NA
## 343 NA NA
## 344 NA NA
## 345 NA NA
## 346 NA NA
## 347 NA NA
## 348 472092.6 15.91
## 349 NA NA
## 350 NA NA
## 351 NA NA
## 352 NA NA
## 353 NA NA
## 354 NA NA
## 355 495590.0 16.35
## 356 NA NA
## 357 NA NA
## 358 NA NA
## 359 NA NA
## 360 NA NA
## 361 NA NA
## 362 519084.8 16.77
## 363 NA NA
## 364 NA NA
## 365 NA NA
## 366 NA NA
## 367 NA NA
## 368 NA NA
## 369 540369.4 17.12
## 370 NA NA
## 371 NA NA
## 372 NA NA
## 373 NA NA
## 374 NA NA
## 375 NA NA
## 376 558041.2 17.34
## 377 NA NA
## 378 NA NA
## 379 NA NA
## 380 NA NA
## 381 NA NA
## 382 NA NA
## 383 573349.6 17.48
## 384 NA NA
## 385 NA NA
## 386 NA NA
## 387 NA NA
## 388 NA NA
## 389 NA NA
## 390 583510.2 17.46
## 391 NA NA
## 392 NA NA
## 393 NA NA
## 394 NA NA
## 395 NA NA
## 396 NA NA
## 397 592017.0 17.40
## 398 NA NA
## 399 NA NA
## 400 NA NA
## 401 NA NA
## 402 NA NA
## 403 NA NA
## 404 598445.8 17.28
## 405 NA NA
## 406 NA NA
## 407 NA NA
## 408 NA NA
## 409 NA NA
## 410 NA NA
## 411 602088.6 17.09
## 412 NA NA
## 413 NA NA
## 414 NA NA
## 415 NA NA
## 416 NA NA
## 417 NA NA
## 418 603742.4 16.85
## 419 NA NA
## 420 NA NA
## 421 NA NA
## 422 NA NA
## 423 NA NA
## 424 NA NA
## 425 604940.6 16.61
## 426 NA NA
## 427 NA NA
## 428 NA NA
## 429 NA NA
## 430 NA NA
## 431 NA NA
## 432 606938.2 16.40
## 433 NA NA
## 434 NA NA
## 435 NA NA
## 436 NA NA
## 437 NA NA
## 438 NA NA
## 439 607563.0 16.16
## 440 NA NA
## 441 NA NA
## 442 NA NA
## 443 NA NA
## 444 NA NA
## 445 NA NA
## 446 610584.8 16.00
## 447 NA NA
## 448 NA NA
## 449 NA NA
## 450 NA NA
## 451 NA NA
## 452 NA NA
## 453 612157.0 15.80
## 454 NA NA
## 455 NA NA
## 456 NA NA
## 457 NA NA
## 458 NA NA
## 459 NA NA
## 460 615954.0 15.67
## 461 NA NA
## 462 NA NA
## 463 NA NA
## 464 NA NA
## 465 NA NA
## 466 NA NA
## 467 619948.8 15.55
## 468 NA NA
## 469 NA NA
## 470 NA NA
## 471 NA NA
## 472 NA NA
## 473 NA NA
## 474 623084.0 15.41
## 475 NA NA
## 476 NA NA
## 477 NA NA
## 478 NA NA
## 479 NA NA
## 480 NA NA
## 481 626507.6 15.29
## 482 NA NA
## 483 NA NA
## 484 NA NA
## 485 NA NA
## 486 NA NA
## 487 NA NA
## 488 630746.8 15.19
## 489 NA NA
## 490 NA NA
## 491 NA NA
## 492 NA NA
## 493 NA NA
## 494 NA NA
## 495 633681.8 15.07
## 496 NA NA
## 497 NA NA
## 498 NA NA
## 499 NA NA
## 500 NA NA
## 501 NA NA
## 502 637094.6 14.96
## 503 NA NA
## 504 NA NA
## 505 NA NA
## 506 NA NA
## 507 NA NA
## 508 NA NA
## 509 639583.8 14.82
## 510 NA NA
## 511 NA NA
## 512 NA NA
## 513 NA NA
## 514 NA NA
## 515 NA NA
## 516 642796.6 14.71
## 517 NA NA
## 518 NA NA
## 519 NA NA
## 520 NA NA
## 521 NA NA
## 522 NA NA
## 523 645823.2 14.60
## 524 NA NA
## 525 NA NA
## 526 NA NA
## 527 NA NA
## 528 NA NA
## 529 NA NA
## 530 649563.8 14.51
## 531 NA NA
## 532 NA NA
## 533 NA NA
## 534 NA NA
## 535 NA NA
## 536 NA NA
## 537 652803.8 14.41
## 538 NA NA
## 539 NA NA
## 540 NA NA
## 541 NA NA
## 542 NA NA
## 543 NA NA
## 544 656351.0 14.32
## 545 NA NA
## 546 NA NA
## 547 NA NA
## 548 NA NA
## 549 NA NA
## 550 NA NA
## 551 661463.0 14.27
## 552 NA NA
## 553 NA NA
## 554 NA NA
## 555 NA NA
## 556 NA NA
## 557 NA NA
## 558 668556.2 14.26
## 559 NA NA
## 560 NA NA
## 561 NA NA
## 562 NA NA
## 563 NA NA
## 564 NA NA
## 565 679046.6 14.32
## 566 NA NA
## 567 NA NA
## 568 NA NA
## 569 NA NA
## 570 NA NA
## 571 NA NA
## 572 692578.6 14.44
## 573 NA NA
## 574 NA NA
## 575 NA NA
## 576 NA NA
## 577 NA NA
## 578 NA NA
## 579 709265.4 14.63
## 580 NA NA
## 581 NA NA
## 582 NA NA
## 583 NA NA
## 584 NA NA
## 585 NA NA
## 586 728278.0 14.86
## 587 NA NA
## 588 NA NA
## 589 NA NA
## 590 NA NA
## 591 NA NA
## 592 NA NA
## 593 748108.4 15.10
## 594 NA NA
## 595 NA NA
## 596 NA NA
## 597 NA NA
## 598 NA NA
## 599 NA NA
## 600 767785.0 15.33
## 601 NA NA
## 602 NA NA
## 603 NA NA
## 604 NA NA
## 605 NA NA
## 606 NA NA
## 607 786818.6 15.54
## 608 NA NA
## 609 NA NA
## 610 NA NA
## 611 NA NA
## 612 NA NA
## 613 NA NA
## 614 804538.2 15.72
## 615 NA NA
## 616 NA NA
## 617 NA NA
## 618 NA NA
## 619 NA NA
## 620 NA NA
## 621 821238.6 15.88
## 622 NA NA
## 623 NA NA
## 624 NA NA
## 625 NA NA
## 626 NA NA
## 627 NA NA
## 628 834515.2 15.97
## 629 NA NA
## 630 NA NA
## 631 NA NA
## 632 NA NA
## 633 NA NA
## 634 NA NA
## 635 846338.0 16.03
## 636 NA NA
## 637 NA NA
## 638 NA NA
## 639 NA NA
## 640 NA NA
## 641 NA NA
## 642 857100.6 16.06
## 643 NA NA
## 644 NA NA
## 645 NA NA
## 646 NA NA
## 647 NA NA
## 648 NA NA
## 649 867224.2 16.08
## 650 NA NA
## 651 NA NA
## 652 NA NA
## 653 NA NA
## 654 NA NA
## 655 NA NA
## 656 876736.0 16.09
## 657 NA NA
## 658 NA NA
## 659 NA NA
## 660 NA NA
## 661 NA NA
## 662 NA NA
## 663 886752.8 16.11
## 664 NA NA
## 665 NA NA
## 666 NA NA
## 667 NA NA
## 668 NA NA
## 669 NA NA
## 670 895520.4 16.10
## 671 NA NA
## 672 NA NA
## 673 NA NA
## 674 NA NA
## 675 NA NA
## 676 NA NA
## 677 905149.4 16.11
## 678 NA NA
## 679 NA NA
## 680 NA NA
## 681 NA NA
## 682 NA NA
## 683 NA NA
## 684 916433.4 16.14
## 685 NA NA
## 686 NA NA
## 687 NA NA
## 688 NA NA
## 689 NA NA
## 690 NA NA
## 691 928275.0 16.19
## 692 NA NA
## 693 NA NA
## 694 NA NA
## 695 NA NA
## 696 NA NA
## 697 NA NA
## 698 938915.4 16.20
## 699 NA NA
## 700 NA NA
## 701 NA NA
## 702 NA NA
## 703 NA NA
## 704 NA NA
## 705 949552.8 16.22
## 706 NA NA
## 707 NA NA
## 708 NA NA
## 709 NA NA
## 710 NA NA
## 711 NA NA
## 712 961592.6 16.26
## 713 NA NA
## 714 NA NA
## 715 NA NA
## 716 NA NA
## 717 NA NA
## 718 NA NA
## 719 973937.3 16.29
## 720 NA NA
## 721 NA NA
## 722 NA NA
## 723 NA NA
## 724 NA NA
## 725 NA NA
## 726 990364.4 16.39
## 727 NA NA
## 728 NA NA
## 729 NA NA
## 730 NA NA
## 731 NA NA
## 732 NA NA
## 733 1008355.3 16.51
## 734 NA NA
## 735 NA NA
## 736 NA NA
## 737 NA NA
## 738 NA NA
## 739 NA NA
## 740 1025527.4 16.62
## 741 NA NA
## 742 NA NA
## 743 NA NA
## 744 NA NA
## 745 NA NA
## 746 NA NA
## 747 1037396.1 16.65
## 748 NA NA
## 749 NA NA
## 750 NA NA
## 751 NA NA
## 752 NA NA
## 753 NA NA
## 754 NA NA
## 755 NA NA
## 756 NA NA
## 757 NA NA
## 758 NA NA
## 759 NA NA
## 760 NA NA
## 761 NA NA
## 762 NA NA
## 763 NA NA
## 764 NA NA
## 765 NA NA
## 766 NA NA
## 767 NA NA
## 768 NA NA
## 769 NA NA
## 770 NA NA
## 771 NA NA
## 772 NA NA
## 773 NA NA
## 774 NA NA
## 775 NA NA
## 776 NA NA
## 777 NA NA
## 778 NA NA
## 779 NA NA
## 780 NA NA
## 781 NA NA
## 782 NA NA
## 783 NA NA
## 784 NA NA
## 785 NA NA
## 786 NA NA
## 787 NA NA
## 788 NA NA
## 789 NA NA
## 790 NA NA
## 791 NA NA
## 792 NA NA
## 793 NA NA
## 794 NA NA
## 795 NA NA
## excess_mortality excess_mortality_cumulative_per_million
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 -2.63 -26.81164
## 6 NA NA
## 7 NA NA
## 8 NA NA
## 9 NA NA
## 10 NA NA
## 11 NA NA
## 12 -2.65 -31.61467
## 13 NA NA
## 14 NA NA
## 15 NA NA
## 16 NA NA
## 17 NA NA
## 18 NA NA
## 19 -1.81 -34.90620
## 20 NA NA
## 21 NA NA
## 22 NA NA
## 23 NA NA
## 24 NA NA
## 25 NA NA
## 26 -2.37 -39.20039
## 27 NA NA
## 28 NA NA
## 29 NA NA
## 30 NA NA
## 31 NA NA
## 32 NA NA
## 33 -1.06 -41.08856
## 34 NA NA
## 35 NA NA
## 36 NA NA
## 37 NA NA
## 38 NA NA
## 39 NA NA
## 40 0.10 -40.91914
## 41 NA NA
## 42 NA NA
## 43 NA NA
## 44 NA NA
## 45 NA NA
## 46 NA NA
## 47 0.45 -40.11293
## 48 NA NA
## 49 NA NA
## 50 NA NA
## 51 NA NA
## 52 NA NA
## 53 NA NA
## 54 0.47 -39.29651
## 55 NA NA
## 56 NA NA
## 57 NA NA
## 58 NA NA
## 59 NA NA
## 60 NA NA
## 61 2.03 -35.76648
## 62 NA NA
## 63 NA NA
## 64 NA NA
## 65 NA NA
## 66 NA NA
## 67 NA NA
## 68 9.98 -18.59573
## 69 NA NA
## 70 NA NA
## 71 NA NA
## 72 NA NA
## 73 NA NA
## 74 NA NA
## 75 26.38 26.71732
## 76 NA NA
## 77 NA NA
## 78 NA NA
## 79 NA NA
## 80 NA NA
## 81 NA NA
## 82 39.22 93.62568
## 83 NA NA
## 84 NA NA
## 85 NA NA
## 86 NA NA
## 87 NA NA
## 88 NA NA
## 89 37.94 157.07009
## 90 NA NA
## 91 NA NA
## 92 NA NA
## 93 NA NA
## 94 NA NA
## 95 NA NA
## 96 34.24 213.68933
## 97 NA NA
## 98 NA NA
## 99 NA NA
## 100 NA NA
## 101 NA NA
## 102 NA NA
## 103 25.82 256.39332
## 104 NA NA
## 105 NA NA
## 106 NA NA
## 107 NA NA
## 108 NA NA
## 109 NA NA
## 110 23.13 294.08521
## 111 NA NA
## 112 NA NA
## 113 NA NA
## 114 NA NA
## 115 NA NA
## 116 NA NA
## 117 20.05 326.43220
## 118 NA NA
## 119 NA NA
## 120 NA NA
## 121 NA NA
## 122 NA NA
## 123 NA NA
## 124 14.96 350.52123
## 125 NA NA
## 126 NA NA
## 127 NA NA
## 128 NA NA
## 129 NA NA
## 130 NA NA
## 131 12.13 369.90275
## 132 NA NA
## 133 NA NA
## 134 NA NA
## 135 NA NA
## 136 NA NA
## 137 NA NA
## 138 9.74 385.60585
## 139 NA NA
## 140 NA NA
## 141 NA NA
## 142 NA NA
## 143 NA NA
## 144 NA NA
## 145 9.07 400.09123
## 146 NA NA
## 147 NA NA
## 148 NA NA
## 149 NA NA
## 150 NA NA
## 151 NA NA
## 152 9.28 414.87638
## 153 NA NA
## 154 NA NA
## 155 NA NA
## 156 NA NA
## 157 NA NA
## 158 NA NA
## 159 10.49 431.56592
## 160 NA NA
## 161 NA NA
## 162 NA NA
## 163 NA NA
## 164 NA NA
## 165 NA NA
## 166 12.54 451.58484
## 167 NA NA
## 168 NA NA
## 169 NA NA
## 170 NA NA
## 171 NA NA
## 172 NA NA
## 173 17.25 478.94857
## 174 NA NA
## 175 NA NA
## 176 NA NA
## 177 NA NA
## 178 NA NA
## 179 NA NA
## 180 20.37 511.04565
## 181 NA NA
## 182 NA NA
## 183 NA NA
## 184 NA NA
## 185 NA NA
## 186 NA NA
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## 795 NA NAdf_1 = inner_join(sp500, covid_US, by = "Date")
df_2 = inner_join(TOPIX, covid_JPN, by = "Date")
df_3 = inner_join(ASX200, covid_AUS, by = "Date")
df_4 = inner_join(NSEI, covid_IND, by = "Date")
df_5 = inner_join(SSEC, covid_CHN, by = "Date")
covid_joined <- rbind(df_1, df_2, df_3, df_4, df_5)
covid_joined$Date <- ymd(covid_joined$Date)
covid_joined$Price <- as.numeric(gsub(",","",covid_joined$Price))
covid_joined$Open <- as.numeric(gsub(",","",covid_joined$Open))
covid_joined$High <- as.numeric(gsub(",","",covid_joined$High))
covid_joined$Low <- as.numeric(gsub(",","",covid_joined$Low))
covid_joined$Change.. <- as.numeric(gsub("%","",covid_joined$Change..))
# example analysis for US
US_data = covid_joined[covid_joined$location == "United States",]
plot(US_data$Price ~ US_data$Date)
2 Question 1 - intial data visualisation
2.1 First visualisation
- visualising distribution of gains and losses amoung different years
covid_joined <- covid_joined %>%
filter(Date >= "2020-03-11") %>%
mutate(Year_category = case_when(
Date >= "2020-03-11" & Date < "2021-01-01" ~ "1st year",
Date >= "2021-01-01" & Date < "2022-01-01" ~ "2nd year",
Date >= "2022-01-01" & Date < "2023-01-01" ~ "3rd year (ongoing)"))
# not using the ggplot but leaving it here in case, instead using the plotly becuase it is interactive
#ggplot(covid_joined, aes(x=Change.., y = location, fill = Year_category)) + geom_boxplot(outlier.colour="black",
# outlier.size=0.3, notch=TRUE) + theme_clean() + labs(y = "country", x = "Distribution of daily #gains/losses (%)") +
#ggtitle("Distrubtion of daily gains/losses during the years of the pandemic")
fig <- plot_ly(covid_joined, x = ~Change.., y = ~location, color = ~Year_category, type = "box") %>% layout(boxmode = "group", title = 'Distribution of gains and losses over the pandemic',
xaxis = list(showgrid = TRUE),
yaxis = list(showgrid = TRUE))
unique(covid_joined$location)## [1] "United States" "Japan" "Australia" "India"
## [5] "China"2.2 CLEANING AND (OLD JOIN CODE)
- (not going to use but will leave it because i think some of the code currently depends on it, will fix in the meeting together)
covid = read.csv("owid-covid-data.csv")
ASX200 = read.csv("S&P_ASX 200 Historical Data.csv", fileEncoding = 'UTF-8-BOM') # This is for Australia3 Q2
df_q2 = covid_joined
colnames(df_q2)[7] = 'Change'
write.csv(df_q2,"df_q2.csv")3.1 Rolling correlation
- (part of question 2 done by maxim) BTW THIS CODE IS REALLY MESSY :)
mySymbols <- c('AMZN', '^GSPC','NFLX','MSFT','GOOG','NVAX','DIS','WMT','COST','V','FB','AXP','CMCSA','PFE','MRNA')
myStocks <-lapply(mySymbols, function(x) {getSymbols(x, src = "yahoo",
from = "2020-01-01",
to = "2022-04-04",
periodicity = "daily",
auto.assign=FALSE)} )
closePrices <- lapply(myStocks, Cl)
closePrices <- as.data.frame(do.call(merge, closePrices))
closePrices <- na.omit(log(closePrices/lag(closePrices)))
closePrices <- rownames_to_column(closePrices, "Date")
date <- closePrices["Date"]
date
# will need to probably write a function for this later as at the moment i am just hard coding this
corr_AMZN <- as.data.frame(roll_cor(closePrices$AMZN.Close, closePrices$GSPC.Close, width = 150)) %>% cbind(date) %>% na.omit
corr_NFLX <- as.data.frame(roll_cor(closePrices$NFLX.Close, closePrices$GSPC.Close, width = 150))%>% cbind(date) %>% na.omit
corr_MSFT <- as.data.frame(roll_cor(closePrices$MSFT.Close, closePrices$GSPC.Close, width = 150))%>% cbind(date) %>% na.omit
corr_GOOG <- as.data.frame(roll_cor(closePrices$GOOG.Close, closePrices$GSPC.Close, width = 150))%>% cbind(date) %>% na.omit
corr_NVAX <- as.data.frame(roll_cor(closePrices$NVAX.Close, closePrices$GSPC.Close, width = 150))%>% cbind(date) %>% na.omit
corr_DIS <- as.data.frame(roll_cor(closePrices$DIS.Close, closePrices$GSPC.Close, width = 150))%>% cbind(date) %>% na.omit
corr_WMT <- as.data.frame(roll_cor(closePrices$WMT.Close, closePrices$GSPC.Close, width = 150))%>% cbind(date) %>% na.omit
corr_COST <- as.data.frame(roll_cor(closePrices$COST.Close, closePrices$GSPC.Close, width = 150))%>% cbind(date) %>% na.omit
corr_V <- as.data.frame(roll_cor(closePrices$V.Close, closePrices$GSPC.Close, width = 150))%>% cbind(date) %>% na.omit
corr_FB <- as.data.frame(roll_cor(closePrices$FB.Close, closePrices$GSPC.Close, width = 150))%>% cbind(date) %>% na.omit
corr_AXP <- as.data.frame(roll_cor(closePrices$AXP.Close, closePrices$GSPC.Close, width = 150))%>% cbind(date) %>% na.omit
corr_CMCSA <- as.data.frame(roll_cor(closePrices$CMCSA.Close, closePrices$GSPC.Close, width = 150))%>% cbind(date) %>% na.omit
corr_PFE <- as.data.frame(roll_cor(closePrices$PFE.Close, closePrices$GSPC.Close, width = 150))%>% cbind(date) %>% na.omit
corr_MRNA <- as.data.frame(roll_cor(closePrices$MRNA.Close, closePrices$GSPC.Close, width = 150))%>% cbind(date) %>% na.omit
corr_AMZN$symbol <- "AMZN"
corr_NFLX$symbol <- "NFLX"
corr_GOOG$symbol <- "GOOG"
corr_NVAX$symbol <- "NVAX"
corr_V$symbol <- "VISA"
corr_FB$symbol <- "FB"
corr_MSFT$symbol <- "MSFT"
corr_PFE$symbol <- "PFE"
corr_MRNA$symbol <- "MRNA"
colnames(corr_AMZN)[1] = "corr"
colnames(corr_NFLX)[1] = "corr"
colnames(corr_MSFT)[1] = "corr"
colnames(corr_GOOG)[1] = "corr"
colnames(corr_NVAX)[1] = "corr"
colnames(corr_DIS)[1] = "corr"
colnames(corr_WMT)[1] = "corr"
colnames(corr_COST)[1] = "corr"
colnames(corr_V)[1] = "corr"
colnames(corr_FB)[1] = "corr"
colnames(corr_AXP)[1] = "corr"
colnames(corr_CMCSA)[1] = "corr"
colnames(corr_PFE)[1] = "corr"
colnames(corr_MRNA)[1] = "corr"
corr_joined = rbind(corr_AMZN, corr_NFLX, corr_GOOG, corr_NVAX, corr_V, corr_FB, corr_MSFT, corr_PFE, corr_MRNA)
corr_joined$Date <- as.Date(corr_joined$Date)
corr_joined
p = ggplot(corr_joined, aes(x=Date, y=corr, colour = symbol)) + geom_line() + labs(x = "Date", y = "rolling correlation (150D period)") + ggtitle("examining correlation of vaccine macufacturers compared to typical stocks") + theme_clean()
ggplotly(p)3.2 Visualization for Price and intertested variables
df_q2_scatter_plot_Lprice_var_fac = function(plot_df, xvar, xvar_lab, title) {
p1 = ggplot(data = plot_df, aes(x = xvar, group=location, color = location)) +
geom_point(aes(y=Lprice)) +
facet_grid(location ~ .) +
ggtitle(title) + xlab(xvar_lab) +
ylab("Price") +
theme_bw()
p1
}
df_q2$Lprice = log(df_q2$Price/lag(df_q2$Price))
df_q2$Lnew_vaccinations = log(df_q2$new_vaccinations/lag(df_q2$new_vaccinations))
df_q2$Lnew_tests = log(df_q2$new_tests/lag(df_q2$new_tests))
df_q2$Lnew_cases = log(df_q2$new_cases/lag(df_q2$new_cases))
df_q2_scatter_plot_Lprice_var_fac(df_q2, df_q2$Lnew_tests, "new_tests", "log return(Price)~Log return(new_tests)")
df_q2_scatter_plot_Lprice_var_fac(df_q2, df_q2$Lnew_vaccinations, "new_vaccinations", "Log return(Price)~Log return(new_vaccinations)")
df_q2_scatter_plot_Lprice_var_fac(df_q2, df_q2$Lnew_cases, "new_vaccinations", "Log return(Price)~Log return(new_cases)")
3.2.1 Visualization of new vacination, tests, cases over time
#colnames(df_q2)
df_q2_date = df_q2 %>% drop_na(new_cases, new_tests, new_vaccinations) %>% group_by(Date) %>% summarize(avg_price = mean(Price), avg_new_cases = mean(new_cases), avg_new_tests = mean(new_tests), avg_new_vac = mean(new_vaccinations))
p1 = ggplot(data = df_q2_date, aes(x = Date)) + geom_line(aes(y=avg_new_cases), color = 'red') +
geom_line(aes(y=avg_new_vac), color = 'light green') +
geom_line(aes(y=avg_new_tests), color = 'light blue') +
ggtitle("covid data plot") + xlab("date") +
ylab("values")+
theme_bw()
ggplotly(p1)3.3 Correlation Matrix
df_q2 = as.data.frame(df_q2[order(df_q2$Date),]) %>% drop_na(new_vaccinations, new_tests, new_cases, Price)
df_q2_cor = df_q2 %>% dplyr::select(new_vaccinations, new_tests, new_cases, Price)
cor(df_q2_cor)## new_vaccinations new_tests new_cases Price
## new_vaccinations 1.00000000 0.4663069 0.03867642 0.5685671
## new_tests 0.46630689 1.0000000 0.60799915 0.1228084
## new_cases 0.03867642 0.6079992 1.00000000 -0.1504513
## Price 0.56856712 0.1228084 -0.15045129 1.0000000qtlcharts::iplotCorr(df_q2_cor)## Set screen size to height=700 x width=10003.3.1 Can’t work.
df_q2_date = df_q2 %>% group_by(Date) %>% summarize(avg_price = mean(Price), avg_new_cases = mean(new_cases), avg_new_tests = mean(new_tests), avg_new_vac = mean(new_vaccinations))
nrow_df_q2 = 360
i = 1
cor1 <- list()
time_ls <- list()
j = 1
while (i <= nrow_df_q2) {
subset <- df_q2_date[i:(i+29),]
cor1[[j]] <- cor.test(subset$avg_price,subset$avg_new_vac, method = "pearson")
time_ls[[j]] = subset$Date[1]
print(time_ls[[j]])
j = j + 1
i = i + 30
}## [1] "2020-12-14"
## [1] "2021-01-27"
## [1] "2021-03-11"
## [1] "2021-04-22"
## [1] "2021-06-03"
## [1] "2021-07-13"
## [1] "2021-08-20"
## [1] "2021-10-01"
## [1] "2021-11-12"
## [1] "2021-12-24"
## [1] "2022-02-04"
## [1] "2022-03-18"out <- lapply(cor1, function(x) c(x$estimate, x$conf.int, x$p.value))
D1 <- data.frame(cbind(index = seq(length(out)), do.call(rbind, out)))
names(D1)[2:ncol(D1)] <- c('estimate', paste0('conf.int', 1:2), 'p.value')
#D1
i = 1
cor2 <- list()
j = 1
while (i <= nrow_df_q2) {
subset <- df_q2_date[i:(i+29),]
cor2[[j]] <- cor.test(subset$avg_new_tests,subset$avg_new_cases, method = "pearson")
j = j + 1
i = i + 30
}
out <- lapply(cor2, function(x) c(x$estimate, x$conf.int, x$p.value))
D2 <- data.frame(cbind(index = seq(length(out)), do.call(rbind, out)))
names(D2)[2:ncol(D2)] <- c('estimate', paste0('conf.int', 1:2), 'p.value')
df_q2_date = as.data.frame(time_ls)
df_q2_date = as.data.frame(t(df_q2_date))
df_q2_date## V1
## structure.18610..class....Date.. 2020-12-14
## structure.18654..class....Date.. 2021-01-27
## structure.18697..class....Date.. 2021-03-11
## structure.18739..class....Date.. 2021-04-22
## structure.18781..class....Date.. 2021-06-03
## structure.18821..class....Date.. 2021-07-13
## structure.18859..class....Date.. 2021-08-20
## structure.18901..class....Date.. 2021-10-01
## structure.18943..class....Date.. 2021-11-12
## structure.18985..class....Date.. 2021-12-24
## structure.19027..class....Date.. 2022-02-04
## structure.19069..class....Date.. 2022-03-18Created 2 dataframes each with only one column one called price new vac and new tests new cases
colnames(D1)[1] ="start_date"
colnames(D1)[2] ="avg_price_avg_new_vacc"
colnames(D1)[3] ="avg_new_tests_avg_new_cases"
#,"avg_price_avg_new_vacc","avg_new_tests_avg_new_cases"
df_q2_cor_time = D1 %>% mutate(start_date = df_q2_date$V1, avg_new_tests_avg_new_cases = D2$estimate)
#cor_df_time
df_q2_cor_time$start_date = as.Date(df_q2_cor_time$start_date)
df_q2_cor_time = df_q2_cor_time[ , -which(names(df_q2_cor_time) %in% c("conf.int2","p.value"))]
df_q2_cor_time## start_date avg_price_avg_new_vacc avg_new_tests_avg_new_cases
## 1 2020-12-14 -0.05176785 0.8640551
## 2 2021-01-27 0.31069832 0.9083671
## 3 2021-03-11 0.71005442 0.7092829
## 4 2021-04-22 0.25519947 0.6621761
## 5 2021-06-03 0.60356752 0.8227830
## 6 2021-07-13 0.87504822 0.4926819
## 7 2021-08-20 0.37050899 0.4673217
## 8 2021-10-01 0.64631288 0.4349007
## 9 2021-11-12 0.60033449 0.5648410
## 10 2021-12-24 0.58803408 0.6468808
## 11 2022-02-04 0.42442971 0.6762169
## 12 2022-03-18 0.59558967 0.3978189p1 = ggplot(data = df_q2_cor_time, aes(x = start_date)) + geom_line(aes(y=avg_new_tests_avg_new_cases, colour = "avg new_tests ~ avg new_cases"), size = 0.8) +
geom_line(aes(y=avg_price_avg_new_vacc, colour = 'avg price ~ avg new_vacc'), size = 0.8) +
scale_colour_manual("",
values = c("avg new_tests ~ avg new_cases"="#FF00CC", "avg price ~ avg new_vacc"="#3333FF")) +
ggtitle("Corelation Between Price and New vaccinations, New_tests and New_cases") + xlab("Date") +
ylab("Coorelation")+
#scale_fill_manual(values = c("light green", "yellow"))+
theme_bw()
ggplotly(p1)4 Use these colours
library("RColorBrewer")
display.brewer.all(n=5)
display.brewer.pal(n = 9, name = 'RdPu')
# scale_fill_brewer(palette = "Dark2")+4.1 beta function for each country
#covid_clean
df_q2_beta = df_q2 %>% drop_na(Lprice2, Lnew_cases2)
df_q2_chn = df_q2_beta %>% filter(location == "China")
df_q2_jpn = df_q2_beta %>% filter(location == "Japan")
df_q2_usa = df_q2_beta %>% filter(location == "United States")
df_q2_ind = df_q2_beta %>% filter(location == "India")
chn_beta_price_case = beta(df_q2_chn$Lprice2, df_q2_chn$Lnew_cases2)
jpn_beta_price_case = beta(df_q2_jpn$Lprice2, df_q2_jpn$Lnew_cases2)
usa_beta_price_case = beta(df_q2_usa$Lprice2, df_q2_usa$Lnew_cases2)
ind_beta_price_case = beta(df_q2_ind$Lprice2, df_q2_ind$Lnew_cases2)
aus_beta_price_case = beta(df_q2_aus$Lprice2, df_q2_aus$Lnew_cases2)
plot(jpn_beta_price_case,type="l")
plot(chn_beta_price_case,type="l", col = "red")
plot(aus_beta_price_case,type="l", col = "light blue")
plot(ind_beta_price_case,type="l", col = "light green")
plot(usa_beta_price_case,type="l", col = "yellow")5 Question3
5.1 Building the model
glm1= glm(Price ~ new_vaccinations + new_tests + new_cases,data = df_q2_cor)
summary(glm1)##
## Call:
## glm(formula = Price ~ new_vaccinations + new_tests + new_cases,
## data = df_q2_cor)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -13511.9 -4153.3 -906.9 2604.8 16034.4
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.695e+03 2.384e+02 19.695 < 2e-16 ***
## new_vaccinations 1.635e-03 7.857e-05 20.812 < 2e-16 ***
## new_tests -7.787e-04 3.117e-04 -2.499 0.012618 *
## new_cases -5.535e-03 1.553e-03 -3.564 0.000381 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for gaussian family taken to be 26105659)
##
## Null deviance: 4.3267e+10 on 1069 degrees of freedom
## Residual deviance: 2.7829e+10 on 1066 degrees of freedom
## AIC: 21316
##
## Number of Fisher Scoring iterations: 25.2 Assumption checking
plot(glm1, which = 1:2)
mean(df_q2_cor$Price)## [1] 6528.003median(df_q2_cor$Price)## [1] 6764.55quantile(df_q2_cor$Price, 0.25)## 25%
## 455.66#df_q2_cor$level <- ifelse(df_q2_cor$Price < 1978.28, "low", "high")
df_q2_cor <- df_q2_cor %>% mutate(level = case_when((df_q2_cor$Price <= 1978.28) ~ "Low",
((df_q2_cor$Price > 1978.28) & (df_q2_cor$Price < 6511.446)) ~ "Medium",
(df_q2_cor$Price > 6511.446) ~ "High"
))
df_q2_cor## new_vaccinations new_tests new_cases Price level
## 1 4579 1495152 209713 364.66 Low
## 2 49765 1947173 226360 369.59 Low
## 3 159903 2077604 234747 370.17 Low
## 4 272597 2054205 240142 372.24 Low
## 5 416363 2022479 248224 369.18 Low
## 6 381953 1529718 196621 367.86 Low
## 7 447657 1989004 206017 367.24 Low
## 8 575058 2280504 221487 367.57 Low
## 9 195986 1893091 212904 369.00 Low
## 10 591127 1310029 173113 372.17 Low
## 11 722028 1887360 205910 371.46 Low
## 12 843400 2192351 218381 371.99 Low
## 13 420632 1925303 315117 373.88 Low
## 14 657469 1410265 185477 368.79 Low
## 15 831704 1974282 232817 371.33 Low
## 16 1021568 2339402 259774 373.55 Low
## 17 1170243 2262924 286311 379.10 Low
## 18 1236645 2152897 304179 381.26 Low
## 19 1070955 1531643 203842 378.69 Low
## 20 1258695 2038207 221736 378.77 Low
## 21 1324014 2119887 229277 379.79 Low
## 22 1316665 2091194 235592 378.46 Low
## 23 1256977 2050476 245096 375.70 Low
## 24 229748 548168 10050 14281.30 High
## 25 1346590 1818266 156863 378.65 Low
## 26 220786 709791 13816 14521.15 High
## 27 1602768 2144391 187411 383.89 Low
## 28 131649 764120 15244 14644.70 High
## 29 1631100 2069363 192539 384.24 Low
## 30 237050 780835 14545 14590.35 High
## 31 1627458 1939597 191810 382.88 Low
## 32 347058 800242 14256 14371.90 High
## 33 1373093 1243725 129531 384.39 Low
## 34 408305 570246 9102 14238.90 High
## 35 1661811 1794904 150982 383.79 Low
## 36 1932241 2078010 155465 374.41 Low
## 37 326499 550426 11666 13967.50 High
## 38 1961671 1919525 166756 377.63 Low
## 39 572074 725653 18855 13817.55 High
## 40 1914158 1857499 163792 370.07 Low
## 41 571974 742306 13082 13634.60 High
## 42 1384392 1038593 125238 376.23 Low
## 43 191313 504263 8635 14281.20 High
## 44 1695984 1641714 117008 381.55 Low
## 45 188762 659422 11039 14647.85 High
## 46 2138135 1879353 124351 381.85 Low
## 47 310634 721121 12899 14789.95 High
## 48 2345549 1939933 125036 386.19 Low
## 49 509893 742841 12408 14895.65 High
## 50 2355398 1839870 131083 387.71 Low
## 51 457404 715776 11713 14924.25 High
## 52 1579217 1050663 82738 390.51 Low
## 53 446646 532236 9110 15115.80 High
## 54 1973767 1701895 95229 390.25 Low
## 55 352553 687138 11067 15109.30 High
## 56 2304241 1649693 95186 390.08 Low
## 57 405553 736903 12923 15106.50 High
## 58 2405932 1425099 106797 390.71 Low
## 59 487896 699185 9309 15173.30 High
## 60 2584410 1419737 100607 392.64 Low
## 61 462637 765944 12143 15163.30 High
## 62 1621206 1256966 59241 392.30 Low
## 63 340570 615664 11610 15313.45 High
## 64 1965093 1478353 68834 392.39 Low
## 65 329416 644931 12881 15208.90 High
## 66 1856966 1420806 72598 390.72 Low
## 67 486 54504 1536 1941.91 Low
## 68 659766 726562 13193 15118.95 High
## 69 1967054 1360247 75192 390.03 Low
## 70 4428 74955 1301 1928.95 Low
## 71 603419 771071 13993 14981.75 High
## 72 1461527 1046184 55414 387.03 Low
## 73 2769 36501 7 6780.90 High
## 74 338921 620216 10584 14675.70 High
## 75 1937124 1653922 73850 387.50 Low
## 76 4125 43521 2 6839.20 High
## 77 483298 678685 13742 14707.80 High
## 78 2526900 1697756 75052 391.77 Low
## 79 9715 56776 8 6777.80 High
## 80 459241 805844 16738 14982.00 High
## 81 2937416 1619278 77281 382.33 Low
## 82 4008 59234 1076 1926.23 Low
## 83 6881 49940 10 6834.00 High
## 84 700414 793383 16577 15097.35 High
## 85 3113725 1484175 75442 380.36 Low
## 86 6634 57864 1054 1864.49 Low
## 87 6490 47899 8 6673.30 High
## 88 689893 831807 16488 14529.15 High
## 89 2050625 999600 50384 389.58 Low
## 90 7277 24226 8 6789.60 High
## 91 552870 627668 12286 14761.55 High
## 92 2463129 1618142 58415 386.54 Low
## 93 2987 82324 888 1894.85 Low
## 94 9163 39974 10 6762.30 High
## 95 766613 759283 14989 14919.10 High
## 96 2902630 1745437 67048 381.42 Low
## 97 2531 30168 1243 1904.54 Low
## 98 9939 52921 11 6818.00 High
## 99 995299 785220 17407 15245.60 High
## 100 3202935 1559969 68971 376.70 Low
## 101 1871 68856 1169 1884.74 Low
## 102 10858 49049 14 6760.70 High
## 103 1389455 775631 16838 15080.75 High
## 104 3228612 1437159 67897 383.63 Low
## 105 7295 45153 1148 1896.18 Low
## 106 5073 47635 8 6710.80 High
## 107 1492201 761834 18284 14938.10 High
## 108 2164066 982157 44025 381.72 Low
## 109 8539 35146 15 6739.60 High
## 110 2706706 1546155 55496 387.17 Low
## 111 36762 40237 1127 1917.68 Low
## 112 13420 27603 13 6771.20 High
## 113 3124371 1621913 57766 389.58 Low
## 114 41392 60152 1313 1919.74 Low
## 115 16672 47309 16 6714.10 High
## 116 1317105 763081 22854 15174.80 High
## 117 3439415 1505737 61780 393.53 Low
## 118 32234 56851 1317 1924.92 Low
## 119 10109 51011 12 6713.90 High
## 120 3427129 1403816 62628 394.06 Low
## 121 49358 55562 1271 1951.06 Low
## 122 24185 45015 10 6766.80 High
## 123 2053537 740345 24882 15030.95 High
## 124 2281652 954217 50912 396.41 Low
## 125 17656 32312 7 6773.00 High
## 126 3039394 703772 24492 14929.50 High
## 127 2887493 1504842 54085 395.91 Low
## 128 68916 47776 1133 1981.50 Medium
## 129 21120 33843 17 6827.10 High
## 130 2117104 873350 28903 14910.45 High
## 131 3168362 1623296 59293 397.26 Low
## 132 78294 84919 1533 1984.03 Medium
## 133 22500 54260 12 6795.20 High
## 134 2078719 969021 35871 14721.30 High
## 135 3402415 1479979 62394 391.48 Low
## 136 71217 54899 1497 2008.51 Medium
## 137 14697 50496 17 6745.90 High
## 138 2196562 1063379 39726 14557.85 High
## 139 3338045 1348328 61656 389.48 Low
## 140 70133 71301 1463 2012.21 Medium
## 141 13077 44082 9 6708.20 High
## 142 2723575 1057383 40953 14744.00 High
## 143 2364433 979309 47310 392.59 Low
## 144 30542 30548 5 6752.50 High
## 145 3065565 1535548 52882 389.50 Low
## 146 46428 52715 1500 1971.48 Low
## 147 46000 29572 10 6745.40 High
## 148 2346692 967459 47262 14814.75 High
## 149 3557710 1663062 87694 387.52 Low
## 150 42054 59974 1917 1928.58 Low
## 151 49908 47726 9 6778.80 High
## 152 2304423 1025628 53476 14549.40 High
## 153 3836715 1452482 67646 389.70 Low
## 154 33942 62645 1915 1955.55 Low
## 155 51745 39005 9 6790.60 High
## 156 2358731 1065021 59118 14324.90 High
## 157 3831427 1378047 76395 395.98 Low
## 158 47747 67296 2025 1984.16 Medium
## 159 46310 38818 13 6824.20 High
## 160 2605333 1100756 62258 14507.30 High
## 161 2839016 1012160 65683 395.78 Low
## 162 55764 45086 20 6799.50 High
## 163 3593856 1536447 61721 394.73 Low
## 164 59069 41247 2087 1977.86 Low
## 165 72826 44989 8 6738.40 High
## 166 1940999 785864 53480 14845.10 High
## 167 4172332 1585138 69538 396.33 Low
## 168 53008 67435 2843 1954.00 Low
## 169 73979 84676 18 6790.70 High
## 170 2063543 1022915 72330 14690.70 High
## 171 4554947 1447056 76904 400.61 Low
## 172 47373 65377 2605 1957.64 Low
## 173 79283 85667 11 6828.70 High
## 174 3671242 1125681 81466 14867.35 High
## 175 46586 61146 2754 1971.62 Low
## 176 3105221 951512 66909 406.36 Low
## 177 4005763 893749 96982 14637.80 High
## 178 3978489 1555549 62894 406.12 Low
## 179 91682 53019 2666 1954.34 Low
## 180 65351 28581 14 6885.90 High
## 181 3966548 1211612 115736 14683.50 High
## 182 4356326 1670080 75771 406.59 Low
## 183 104542 58424 3448 1967.43 Low
## 184 75880 32561 6 6928.00 High
## 185 3121199 1208329 126789 14819.05 High
## 186 4500646 1519089 80142 408.52 Low
## 187 94498 70959 3496 1951.86 Low
## 188 81297 44549 5 6998.80 High
## 189 4135589 1237781 131968 14873.80 High
## 190 4318908 1453484 84665 411.49 Low
## 191 104911 67609 3488 1959.47 Low
## 192 61355 50988 6 6995.20 High
## 193 3740898 1364205 145384 14834.85 High
## 194 3015732 1057080 62020 411.64 Low
## 195 56379 32317 10 6974.00 High
## 196 4004520 1180136 161736 14310.80 High
## 197 3474342 1614157 80898 412.86 Low
## 198 58228 65278 3452 1958.55 Low
## 199 60991 28512 21 6976.90 High
## 200 2646493 1400122 184372 14504.80 High
## 201 3688013 1676777 75616 411.45 Low
## 202 56076 73092 4307 1952.18 Low
## 203 63633 45793 19 7023.10 High
## 204 3738702 1485665 73966 415.87 Low
## 205 61857 82330 4569 1959.13 Low
## 206 61272 44406 15 7058.60 High
## 207 2730271 1384549 217353 14581.45 High
## 208 3594631 1456851 83517 417.26 Low
## 209 81339 77966 4524 1960.87 Low
## 210 53981 39152 15 7063.50 High
## 211 2714132 1473210 234692 14617.85 High
## 212 2574739 1020463 58360 415.21 Low
## 213 155076 86696 2903 1956.56 Low
## 214 66730 28648 23 7065.60 High
## 215 3276547 1356133 259167 14359.45 High
## 216 3220895 1571157 62502 412.17 Low
## 217 181082 70951 4350 1926.25 Low
## 218 64821 27878 20 7017.80 High
## 219 3462948 1655812 64358 416.07 Low
## 220 218604 96428 5286 1888.18 Low
## 221 67591 37749 18 6997.50 High
## 222 3484874 1498303 66735 412.27 Low
## 223 214296 94257 5492 1922.50 Low
## 224 69903 37186 44 7055.40 High
## 225 3108503 1651711 332921 14406.15 High
## 226 3284475 1411855 62932 416.74 Low
## 227 239146 91286 5104 1914.98 Low
## 228 58446 33457 15 7060.70 High
## 229 2381348 999323 42213 417.61 Low
## 230 329414 83925 3314 1918.15 Low
## 231 31852 40627 37 7045.60 High
## 232 3339774 1402367 323023 14485.00 High
## 233 2886144 1575162 52325 417.52 Low
## 234 289731 81048 4961 1903.55 Low
## 235 60207 42490 33 7033.80 High
## 236 2354286 1658700 360927 14653.05 High
## 237 3080021 1581302 55198 417.40 Low
## 238 333300 68106 5783 1909.06 Low
## 239 82741 59461 23 7064.70 High
## 240 2174159 1723912 379308 14864.55 High
## 241 3038178 1420695 58798 420.06 Low
## 242 67259 50422 25 7082.30 High
## 243 2215380 1768190 386555 14894.90 High
## 244 2900310 1316286 58113 417.30 Low
## 245 348104 64494 4684 1898.24 Low
## 246 55300 44266 13 7025.80 High
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## 248 1959728 897741 44527 418.20 Low
## 249 56354 28900 12 7028.80 High
## 250 1870625 1504698 357316 14634.15 High
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## 252 79345 30733 15 7067.90 High
## 253 1668616 1663742 382146 14496.50 High
## 254 2542462 1531953 46076 415.75 Low
## 255 77215 53237 19 7095.80 High
## 256 2180486 1541299 412431 14617.85 High
## 257 2513932 1311267 46197 419.07 Low
## 258 385861 89586 4370 1927.40 Low
## 259 81002 49746 9 7061.70 High
## 260 2672365 1923131 414188 14724.80 High
## 261 2501517 1179069 48438 422.12 Low
## 262 196152 109758 6050 1933.05 Low
## 263 73194 48969 13 7080.80 High
## 264 2586397 1826490 401078 14823.15 High
## 265 1600900 860562 32296 417.94 Low
## 266 353282 130677 4940 1952.27 Low
## 267 72886 36799 7 7172.80 High
## 268 2794050 1474606 329942 14942.35 High
## 269 2043112 1336765 35493 414.21 Low
## 270 337046 97038 6235 1905.92 Low
## 271 76379 35191 8 7097.00 High
## 272 2763725 1850110 348421 14850.75 High
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## 274 388229 87073 7051 1877.95 Low
## 275 82284 61475 9 7044.90 High
## 276 2182934 1983804 362727 14696.50 High
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## 278 422313 122502 6874 1849.04 Low
## 279 85874 55232 2 6982.70 High
## 280 2446369 1087076 42228 416.58 Low
## 281 420890 99676 6262 1883.42 Low
## 282 76153 54093 7 7014.20 High
## 283 1284567 1875515 326098 14677.80 High
## 284 1818336 798717 25176 415.52 Low
## 285 607024 95425 3677 1878.86 Low
## 286 83187 36132 5 7023.60 High
## 287 2067845 1215183 28902 411.94 Low
## 288 562853 86352 5224 1907.74 Low
## 289 95530 39354 9 7066.00 High
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## 291 2082921 1181041 29651 410.86 Low
## 292 638253 149234 5791 1895.24 Low
## 293 92874 58524 3 6931.70 High
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## 295 2015326 1009302 30226 415.28 Low
## 296 532477 97287 5712 1895.92 Low
## 297 101146 55335 4 7019.60 High
## 298 1476285 2055010 259551 14906.05 High
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## 300 579592 117145 5245 1904.69 Low
## 301 1318150 713146 21824 419.17 Low
## 302 781561 91616 2711 1913.04 Low
## 303 2446471 1928127 196427 15197.70 High
## 304 1434174 1074605 24603 418.24 Low
## 305 659679 70045 3892 1919.52 Low
## 306 104658 35564 17 7115.20 High
## 307 1341068 2058112 208921 15208.45 High
## 308 1431062 1051667 24621 419.07 Low
## 309 720144 87089 4533 1920.67 Low
## 310 111388 61494 17 7092.50 High
## 311 2918836 2217320 211298 15301.45 High
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## 313 734009 116584 4132 1911.02 Low
## 314 124871 81048 11 7094.90 High
## 315 2777551 2157857 186364 15337.85 High
## 316 1326235 839102 22246 420.04 Low
## 317 729060 118523 3703 1947.44 Low
## 318 121610 95647 9 7179.50 High
## 319 1963636 2070508 173790 15435.65 High
## 320 892957 83703 1791 1922.98 Low
## 321 119139 76663 13 7161.60 High
## 322 1784772 1683135 127510 15582.80 High
## 323 1263796 709537 20788 419.67 Low
## 324 902569 67394 2639 1926.18 Low
## 325 138705 68241 6 7142.60 High
## 326 2685843 1925374 132788 15574.85 High
## 327 1115097 1110347 16741 420.33 Low
## 328 949713 76590 3034 1942.33 Low
## 329 141259 93405 13 7217.80 High
## 330 2542428 3265073 134154 15576.20 High
## 331 1244681 989362 18396 418.77 Low
## 332 935655 176379 2831 1958.70 Low
## 333 143659 96003 4 7260.10 High
## 334 2666218 3725318 132364 15690.35 High
## 335 1399819 870041 17891 422.60 Low
## 336 914981 98297 2592 1959.19 Low
## 337 141245 89027 16 7295.40 High
## 338 5263384 3651198 120529 15670.25 High
## 339 1069487 644766 14047 422.19 Low
## 340 1075188 75134 1280 1960.85 Low
## 341 127564 89000 14 7281.90 High
## 342 2449607 1587589 86498 15751.65 High
## 343 1173229 885993 13032 422.28 Low
## 344 1091824 62141 1881 1962.65 Low
## 345 140885 54037 5 7292.60 High
## 346 3190277 1873485 92596 15740.10 High
## 347 1164383 867741 18557 421.65 Low
## 348 1132984 63215 2238 1957.14 Low
## 349 142808 73284 15 7270.20 High
## 350 3175576 1985967 93463 15635.35 High
## 351 1168259 784938 14799 423.61 Low
## 352 1102839 74713 2042 1956.73 Low
## 353 153338 67478 3 7302.50 High
## 354 3425398 2004690 92291 15737.75 High
## 355 1229292 764453 25147 424.31 Low
## 356 1085671 99850 1934 1954.02 Low
## 357 3421339 2044131 84332 15799.35 High
## 358 911612 597928 11762 425.26 Low
## 359 1206689 60314 933 1959.75 Low
## 360 3329948 1492152 60471 15811.85 High
## 361 976029 831971 10742 424.48 Low
## 362 1215633 61213 1417 1975.48 Low
## 363 152075 42936 13 7379.50 High
## 364 2545002 1751358 62224 15869.25 High
## 365 942802 793202 11898 422.11 Low
## 366 1253914 65986 1707 1975.86 Low
## 367 136010 47437 15 7386.20 High
## 368 3020534 1930987 67208 15767.55 High
## 369 892534 725238 11766 421.97 Low
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## 867 159880 267028 33811 7513.40 High
## 868 3521656 1199252 16764 17203.95 High
## 869 600593 1988979 513923 474.96 Low
## 870 0 255441 30363 7444.60 High
## 871 10147925 1432860 22775 17354.05 High
## 872 1222174 2198830 1043957 477.71 Low
## 873 7939936 878990 37379 17625.70 High
## 874 1392019 2883112 811833 477.55 Low
## 875 211902 212046 71495 7589.80 High
## 876 7804099 1478119 58097 17805.25 High
## 877 1420193 3136673 662548 468.38 Low
## 878 261562 219727 75426 7565.80 High
## 879 9873694 1388647 90928 17925.25 High
## 880 1432531 3119698 834748 467.94 Low
## 881 272293 248366 78229 7358.30 High
## 882 9787059 1488509 117100 17745.90 High
## 883 1609071 2849979 869717 466.09 Low
## 884 265220 258550 98092 7453.30 High
## 885 13600889 1513377 141986 17812.70 High
## 886 1235020 2070230 1382120 465.51 Low
## 887 287855 221101 93806 7447.10 High
## 888 6517469 1540827 168063 18003.30 High
## 889 1283064 2627163 786384 469.75 Low
## 890 146160 110955 6235 1986.82 Medium
## 891 326257 215158 84408 7390.10 High
## 892 13619197 1579928 194720 18055.75 High
## 893 1282828 2855521 848812 471.02 Low
## 894 103808 128248 13044 2019.36 Medium
## 895 345035 288897 175271 7438.90 High
## 896 6455760 2119100 247417 18212.35 High
## 897 1262788 2959955 861709 464.53 Low
## 898 123842 147903 18677 2005.58 Medium
## 899 345598 219303 128185 7474.40 High
## 900 1440660 2770040 879779 464.72 Low
## 901 337813 252188 86288 7393.90 High
## 902 161070 192740 20823 1986.71 Medium
## 903 327447 199188 84355 7417.30 High
## 904 5167283 1313444 238018 18308.10 High
## 905 977672 2538585 1129298 456.49 Low
## 906 184928 145832 32087 1978.38 Medium
## 907 320525 165245 84615 7408.80 High
## 908 143011 1649143 282970 18113.05 High
## 909 955832 2906209 908126 451.75 Low
## 910 193635 221682 41370 1919.72 Low
## 911 331186 213047 67604 7332.50 High
## 912 16445190 2010225 317532 17938.40 High
## 913 912305 2749888 732721 446.75 Low
## 914 206914 191060 45997 1938.53 Low
## 915 351226 186541 63941 7342.40 High
## 916 7882289 1935180 347254 17757.00 High
## 917 1051433 2431662 841161 437.98 Low
## 918 334030 187145 43166 7175.80 High
## 919 9279228 2182108 337704 17617.15 High
## 920 776674 1509402 919606 439.84 Low
## 921 293796 246315 44663 1929.87 Low
## 922 320356 110638 58022 7139.50 High
## 923 1208921 1474753 255874 17149.10 High
## 924 784174 1886935 494202 434.47 Low
## 925 293016 223773 62489 1896.62 Low
## 926 321385 134310 52920 6961.60 High
## 927 6892485 1807100 285914 17277.95 High
## 928 771684 2040358 624194 433.38 Low
## 929 293603 288971 71487 1891.85 Low
## 930 768930 1998847 506265 431.24 Low
## 931 299098 214817 78736 1842.44 Low
## 932 303363 140456 66223 6838.30 High
## 933 2929184 1594070 251209 17110.15 High
## 934 931749 1846201 614463 441.95 Low
## 935 306420 102759 65980 6988.10 High
## 936 6181288 1582307 235532 17101.95 High
## 937 614624 1234020 540867 449.91 Low
## 938 462430 249977 60858 1895.93 Low
## 939 7423888 1607115 167059 17339.85 High
## 940 592346 1764272 325948 452.95 Low
## 941 442111 253692 81593 1896.06 Low
## 942 266050 92547 40146 7006.00 High
## 943 6377839 1699380 161386 17576.85 High
## 944 554434 1881694 329406 457.35 Low
## 945 564852 264631 94771 1936.56 Low
## 946 268201 130347 24228 7087.70 High
## 947 5866803 1742793 172433 17780.00 High
## 948 503612 1592549 275087 446.60 Low
## 949 568034 266034 104345 1919.92 Low
## 950 252746 110188 32179 7078.00 High
## 951 4487064 1752628 149394 17560.20 High
## 952 638719 1474913 355323 448.70 Low
## 953 246785 100240 27336 7120.20 High
## 954 5530743 1611666 127952 17516.30 High
## 955 469432 1243637 345793 447.26 Low
## 956 871371 316989 67939 1925.99 Low
## 957 215669 82525 27373 7110.80 High
## 958 161848 1374446 67597 17213.60 High
## 959 488088 1638749 214448 450.94 Low
## 960 888339 216588 101084 1934.06 Low
## 961 219558 86132 31510 7186.70 High
## 962 6631347 1346534 71365 17266.75 High
## 963 497609 1553880 188591 457.54 Low
## 964 859650 257163 97799 1952.22 Low
## 965 213814 113891 11483 7268.30 High
## 966 7344189 1776629 67084 17463.80 High
## 967 493662 1462110 171446 449.32 Low
## 968 201007 94636 31250 7288.50 High
## 969 375231 1511321 58077 17605.85 High
## 970 606734 1398318 209493 440.46 Low
## 971 202409 100310 22564 7217.30 High
## 972 9774452 1673976 50407 17374.75 High
## 973 331038 977530 169881 439.02 Low
## 974 1133827 210497 60053 1930.65 Low
## 975 166577 67597 30913 7243.90 High
## 976 1817599 1067908 27409 16842.80 High
## 977 388979 1553618 111238 446.10 Low
## 978 1077646 177845 84158 1914.70 Low
## 979 160237 57711 24394 7206.90 High
## 980 6339189 1229536 30615 17352.45 High
## 981 399509 1629733 114898 446.60 Low
## 982 1016105 228716 90885 1946.63 Low
## 983 2581447 1251677 30757 17322.20 High
## 984 393704 1506090 101828 437.06 Low
## 985 977225 206304 95115 1931.24 Low
## 986 150249 105258 22729 7296.20 High
## 987 5281682 1247481 25920 17304.60 High
## 988 508970 1358478 145244 434.23 Low
## 989 155058 89883 23217 7221.70 High
## 990 4004946 1319327 22270 17276.30 High
## 991 1241391 178148 51909 1910.68 Low
## 992 140606 51466 25163 7233.60 High
## 993 2384269 831087 13405 17206.65 High
## 994 335085 1208134 89370 429.57 Low
## 995 132063 82207 25229 7161.30 High
## 996 3732039 1084247 15102 17092.20 High
## 997 330524 1330508 85101 421.95 Low
## 998 123985 100703 24852 7205.70 High
## 999 2168065 1183438 14148 17063.25 High
## 1000 315445 1224152 67061 428.30 Low
## 1001 123136 89532 26670 6990.60 High
## 1002 3279790 1155147 13166 16247.95 High
## 1003 377942 1119566 74565 437.75 Low
## 1004 121620 100549 19803 6997.80 High
## 1005 302021 877607 98801 436.63 Low
## 1006 1375421 197110 51016 1886.93 Low
## 1007 102040 58369 25418 7049.10 High
## 1008 1453832 723828 6915 16793.90 High
## 1009 261363 1261735 46671 429.98 Low
## 1010 90001 69785 21755 7096.50 High
## 1011 246083 1224337 53420 437.89 Low
## 1012 86384 98154 40012 7116.70 High
## 1013 1579294 784059 6561 16605.95 High
## 1014 241621 1191561 48657 435.71 Low
## 1015 1025210 142456 70268 1881.80 Low
## 1016 85961 94936 25159 7151.40 High
## 1017 3191366 882953 6396 16498.05 High
## 1018 302416 1054361 51292 432.17 Low
## 1019 90681 92085 22716 7110.80 High
## 1020 2636405 923351 5921 16245.35 High
## 1021 200744 774050 63419 419.43 Low
## 1022 1292887 152369 37002 1794.03 Low
## 1023 77637 65021 44962 7038.60 High
## 1024 1471620 612926 3993 15863.15 High
## 1025 205851 1182382 29762 416.25 Low
## 1026 1178387 166536 53938 1759.86 Low
## 1027 89302 71498 30691 6980.30 High
## 1028 2235935 873395 4575 16013.45 High
## 1029 201956 1109966 37370 427.41 Low
## 1030 985059 205856 63672 1758.89 Low
## 1031 90219 99999 36335 7053.00 High
## 1032 1967095 897904 4184 16345.35 High
## 1033 201964 986099 46480 425.48 Low
## 1034 961173 166272 61063 1830.03 Low
## 1035 92674 94108 31689 7130.80 High
## 1036 1923632 873974 4194 16594.90 High
## 1037 246296 971904 49712 420.07 Low
## 1038 106393 110525 35077 7063.60 High
## 1039 2773692 812365 3614 16630.45 High
## 1040 183158 767546 34744 417.00 Low
## 1041 1248324 150533 32359 1812.28 Low
## 1042 73534 69645 28803 7149.40 High
## 1043 1795410 532232 2568 16871.30 High
## 1044 190198 1186605 25550 426.17 Low
## 1045 1238189 140711 50695 1826.63 Low
## 1046 96012 77557 54309 7097.40 High
## 1047 1657684 701773 2876 16663.00 High
## 1048 192384 1143507 45015 435.62 Low
## 1049 908428 170537 57822 1853.25 Low
## 1050 92558 102020 57148 7175.20 High
## 1051 1832454 752818 2539 16975.35 High
## 1052 181724 1027918 52884 441.07 Low
## 1053 875484 156343 53478 1899.01 Low
## 1054 91189 121039 49166 7250.80 High
## 1055 2009649 717330 2528 17287.05 High
## 1056 234000 820076 33510 444.52 Low
## 1057 99204 101292 46952 7294.40 High
## 1058 86498 81698 53063 7278.50 High
## 1059 2498778 384499 1581 17117.60 High
## 1060 1356875 141620 20152 1933.74 Low
## 1061 82603 39917 57556 7341.10 High
## 1062 2556290 568471 1778 17315.50 High
## 1063 918689 156909 40928 1978.70 Medium
## 1064 71214 146305 59704 7377.90 High
## 1065 4134489 677218 1938 17245.65 High
## 1066 779830 141401 49550 1981.56 Medium
## 1067 78602 113852 66782 7387.10 High
## 1068 3694442 661954 1685 17222.75 High
## 1069 84708 129628 47988 7406.20 High
## 1070 1997100 691425 1660 17153.00 Highset.seed(1)
df_q2_cor$level <- as.factor(df_q2_cor$level)
split = 0.8
df_q2_cor
## 80% 20% train/test
trainIndex <- createDataPartition(df_q2_cor$level, p = split, list = FALSE)
data_train <- df_q2_cor[trainIndex, ]
data_test <- df_q2_cor[-trainIndex, ]
##naive bayes model
model = train(df_q2_cor$level ~ df_q2_cor$new_vaccinations+df_q2_cor$new_tests+df_q2_cor$new_cases+df_q2_cor$Price, data = data_train)#Marin
table(df_q2_cor$level)##
## High Low Medium
## 547 473 50df_q2_cor$level <- as.factor(df_q2_cor$level)
df_q2_cor## new_vaccinations new_tests new_cases Price level
## 1 4579 1495152 209713 364.66 Low
## 2 49765 1947173 226360 369.59 Low
## 3 159903 2077604 234747 370.17 Low
## 4 272597 2054205 240142 372.24 Low
## 5 416363 2022479 248224 369.18 Low
## 6 381953 1529718 196621 367.86 Low
## 7 447657 1989004 206017 367.24 Low
## 8 575058 2280504 221487 367.57 Low
## 9 195986 1893091 212904 369.00 Low
## 10 591127 1310029 173113 372.17 Low
## 11 722028 1887360 205910 371.46 Low
## 12 843400 2192351 218381 371.99 Low
## 13 420632 1925303 315117 373.88 Low
## 14 657469 1410265 185477 368.79 Low
## 15 831704 1974282 232817 371.33 Low
## 16 1021568 2339402 259774 373.55 Low
## 17 1170243 2262924 286311 379.10 Low
## 18 1236645 2152897 304179 381.26 Low
## 19 1070955 1531643 203842 378.69 Low
## 20 1258695 2038207 221736 378.77 Low
## 21 1324014 2119887 229277 379.79 Low
## 22 1316665 2091194 235592 378.46 Low
## 23 1256977 2050476 245096 375.70 Low
## 24 229748 548168 10050 14281.30 High
## 25 1346590 1818266 156863 378.65 Low
## 26 220786 709791 13816 14521.15 High
## 27 1602768 2144391 187411 383.89 Low
## 28 131649 764120 15244 14644.70 High
## 29 1631100 2069363 192539 384.24 Low
## 30 237050 780835 14545 14590.35 High
## 31 1627458 1939597 191810 382.88 Low
## 32 347058 800242 14256 14371.90 High
## 33 1373093 1243725 129531 384.39 Low
## 34 408305 570246 9102 14238.90 High
## 35 1661811 1794904 150982 383.79 Low
## 36 1932241 2078010 155465 374.41 Low
## 37 326499 550426 11666 13967.50 High
## 38 1961671 1919525 166756 377.63 Low
## 39 572074 725653 18855 13817.55 High
## 40 1914158 1857499 163792 370.07 Low
## 41 571974 742306 13082 13634.60 High
## 42 1384392 1038593 125238 376.23 Low
## 43 191313 504263 8635 14281.20 High
## 44 1695984 1641714 117008 381.55 Low
## 45 188762 659422 11039 14647.85 High
## 46 2138135 1879353 124351 381.85 Low
## 47 310634 721121 12899 14789.95 High
## 48 2345549 1939933 125036 386.19 Low
## 49 509893 742841 12408 14895.65 High
## 50 2355398 1839870 131083 387.71 Low
## 51 457404 715776 11713 14924.25 High
## 52 1579217 1050663 82738 390.51 Low
## 53 446646 532236 9110 15115.80 High
## 54 1973767 1701895 95229 390.25 Low
## 55 352553 687138 11067 15109.30 High
## 56 2304241 1649693 95186 390.08 Low
## 57 405553 736903 12923 15106.50 High
## 58 2405932 1425099 106797 390.71 Low
## 59 487896 699185 9309 15173.30 High
## 60 2584410 1419737 100607 392.64 Low
## 61 462637 765944 12143 15163.30 High
## 62 1621206 1256966 59241 392.30 Low
## 63 340570 615664 11610 15313.45 High
## 64 1965093 1478353 68834 392.39 Low
## 65 329416 644931 12881 15208.90 High
## 66 1856966 1420806 72598 390.72 Low
## 67 486 54504 1536 1941.91 Low
## 68 659766 726562 13193 15118.95 High
## 69 1967054 1360247 75192 390.03 Low
## 70 4428 74955 1301 1928.95 Low
## 71 603419 771071 13993 14981.75 High
## 72 1461527 1046184 55414 387.03 Low
## 73 2769 36501 7 6780.90 High
## 74 338921 620216 10584 14675.70 High
## 75 1937124 1653922 73850 387.50 Low
## 76 4125 43521 2 6839.20 High
## 77 483298 678685 13742 14707.80 High
## 78 2526900 1697756 75052 391.77 Low
## 79 9715 56776 8 6777.80 High
## 80 459241 805844 16738 14982.00 High
## 81 2937416 1619278 77281 382.33 Low
## 82 4008 59234 1076 1926.23 Low
## 83 6881 49940 10 6834.00 High
## 84 700414 793383 16577 15097.35 High
## 85 3113725 1484175 75442 380.36 Low
## 86 6634 57864 1054 1864.49 Low
## 87 6490 47899 8 6673.30 High
## 88 689893 831807 16488 14529.15 High
## 89 2050625 999600 50384 389.58 Low
## 90 7277 24226 8 6789.60 High
## 91 552870 627668 12286 14761.55 High
## 92 2463129 1618142 58415 386.54 Low
## 93 2987 82324 888 1894.85 Low
## 94 9163 39974 10 6762.30 High
## 95 766613 759283 14989 14919.10 High
## 96 2902630 1745437 67048 381.42 Low
## 97 2531 30168 1243 1904.54 Low
## 98 9939 52921 11 6818.00 High
## 99 995299 785220 17407 15245.60 High
## 100 3202935 1559969 68971 376.70 Low
## 101 1871 68856 1169 1884.74 Low
## 102 10858 49049 14 6760.70 High
## 103 1389455 775631 16838 15080.75 High
## 104 3228612 1437159 67897 383.63 Low
## 105 7295 45153 1148 1896.18 Low
## 106 5073 47635 8 6710.80 High
## 107 1492201 761834 18284 14938.10 High
## 108 2164066 982157 44025 381.72 Low
## 109 8539 35146 15 6739.60 High
## 110 2706706 1546155 55496 387.17 Low
## 111 36762 40237 1127 1917.68 Low
## 112 13420 27603 13 6771.20 High
## 113 3124371 1621913 57766 389.58 Low
## 114 41392 60152 1313 1919.74 Low
## 115 16672 47309 16 6714.10 High
## 116 1317105 763081 22854 15174.80 High
## 117 3439415 1505737 61780 393.53 Low
## 118 32234 56851 1317 1924.92 Low
## 119 10109 51011 12 6713.90 High
## 120 3427129 1403816 62628 394.06 Low
## 121 49358 55562 1271 1951.06 Low
## 122 24185 45015 10 6766.80 High
## 123 2053537 740345 24882 15030.95 High
## 124 2281652 954217 50912 396.41 Low
## 125 17656 32312 7 6773.00 High
## 126 3039394 703772 24492 14929.50 High
## 127 2887493 1504842 54085 395.91 Low
## 128 68916 47776 1133 1981.50 Medium
## 129 21120 33843 17 6827.10 High
## 130 2117104 873350 28903 14910.45 High
## 131 3168362 1623296 59293 397.26 Low
## 132 78294 84919 1533 1984.03 Medium
## 133 22500 54260 12 6795.20 High
## 134 2078719 969021 35871 14721.30 High
## 135 3402415 1479979 62394 391.48 Low
## 136 71217 54899 1497 2008.51 Medium
## 137 14697 50496 17 6745.90 High
## 138 2196562 1063379 39726 14557.85 High
## 139 3338045 1348328 61656 389.48 Low
## 140 70133 71301 1463 2012.21 Medium
## 141 13077 44082 9 6708.20 High
## 142 2723575 1057383 40953 14744.00 High
## 143 2364433 979309 47310 392.59 Low
## 144 30542 30548 5 6752.50 High
## 145 3065565 1535548 52882 389.50 Low
## 146 46428 52715 1500 1971.48 Low
## 147 46000 29572 10 6745.40 High
## 148 2346692 967459 47262 14814.75 High
## 149 3557710 1663062 87694 387.52 Low
## 150 42054 59974 1917 1928.58 Low
## 151 49908 47726 9 6778.80 High
## 152 2304423 1025628 53476 14549.40 High
## 153 3836715 1452482 67646 389.70 Low
## 154 33942 62645 1915 1955.55 Low
## 155 51745 39005 9 6790.60 High
## 156 2358731 1065021 59118 14324.90 High
## 157 3831427 1378047 76395 395.98 Low
## 158 47747 67296 2025 1984.16 Medium
## 159 46310 38818 13 6824.20 High
## 160 2605333 1100756 62258 14507.30 High
## 161 2839016 1012160 65683 395.78 Low
## 162 55764 45086 20 6799.50 High
## 163 3593856 1536447 61721 394.73 Low
## 164 59069 41247 2087 1977.86 Low
## 165 72826 44989 8 6738.40 High
## 166 1940999 785864 53480 14845.10 High
## 167 4172332 1585138 69538 396.33 Low
## 168 53008 67435 2843 1954.00 Low
## 169 73979 84676 18 6790.70 High
## 170 2063543 1022915 72330 14690.70 High
## 171 4554947 1447056 76904 400.61 Low
## 172 47373 65377 2605 1957.64 Low
## 173 79283 85667 11 6828.70 High
## 174 3671242 1125681 81466 14867.35 High
## 175 46586 61146 2754 1971.62 Low
## 176 3105221 951512 66909 406.36 Low
## 177 4005763 893749 96982 14637.80 High
## 178 3978489 1555549 62894 406.12 Low
## 179 91682 53019 2666 1954.34 Low
## 180 65351 28581 14 6885.90 High
## 181 3966548 1211612 115736 14683.50 High
## 182 4356326 1670080 75771 406.59 Low
## 183 104542 58424 3448 1967.43 Low
## 184 75880 32561 6 6928.00 High
## 185 3121199 1208329 126789 14819.05 High
## 186 4500646 1519089 80142 408.52 Low
## 187 94498 70959 3496 1951.86 Low
## 188 81297 44549 5 6998.80 High
## 189 4135589 1237781 131968 14873.80 High
## 190 4318908 1453484 84665 411.49 Low
## 191 104911 67609 3488 1959.47 Low
## 192 61355 50988 6 6995.20 High
## 193 3740898 1364205 145384 14834.85 High
## 194 3015732 1057080 62020 411.64 Low
## 195 56379 32317 10 6974.00 High
## 196 4004520 1180136 161736 14310.80 High
## 197 3474342 1614157 80898 412.86 Low
## 198 58228 65278 3452 1958.55 Low
## 199 60991 28512 21 6976.90 High
## 200 2646493 1400122 184372 14504.80 High
## 201 3688013 1676777 75616 411.45 Low
## 202 56076 73092 4307 1952.18 Low
## 203 63633 45793 19 7023.10 High
## 204 3738702 1485665 73966 415.87 Low
## 205 61857 82330 4569 1959.13 Low
## 206 61272 44406 15 7058.60 High
## 207 2730271 1384549 217353 14581.45 High
## 208 3594631 1456851 83517 417.26 Low
## 209 81339 77966 4524 1960.87 Low
## 210 53981 39152 15 7063.50 High
## 211 2714132 1473210 234692 14617.85 High
## 212 2574739 1020463 58360 415.21 Low
## 213 155076 86696 2903 1956.56 Low
## 214 66730 28648 23 7065.60 High
## 215 3276547 1356133 259167 14359.45 High
## 216 3220895 1571157 62502 412.17 Low
## 217 181082 70951 4350 1926.25 Low
## 218 64821 27878 20 7017.80 High
## 219 3462948 1655812 64358 416.07 Low
## 220 218604 96428 5286 1888.18 Low
## 221 67591 37749 18 6997.50 High
## 222 3484874 1498303 66735 412.27 Low
## 223 214296 94257 5492 1922.50 Low
## 224 69903 37186 44 7055.40 High
## 225 3108503 1651711 332921 14406.15 High
## 226 3284475 1411855 62932 416.74 Low
## 227 239146 91286 5104 1914.98 Low
## 228 58446 33457 15 7060.70 High
## 229 2381348 999323 42213 417.61 Low
## 230 329414 83925 3314 1918.15 Low
## 231 31852 40627 37 7045.60 High
## 232 3339774 1402367 323023 14485.00 High
## 233 2886144 1575162 52325 417.52 Low
## 234 289731 81048 4961 1903.55 Low
## 235 60207 42490 33 7033.80 High
## 236 2354286 1658700 360927 14653.05 High
## 237 3080021 1581302 55198 417.40 Low
## 238 333300 68106 5783 1909.06 Low
## 239 82741 59461 23 7064.70 High
## 240 2174159 1723912 379308 14864.55 High
## 241 3038178 1420695 58798 420.06 Low
## 242 67259 50422 25 7082.30 High
## 243 2215380 1768190 386555 14894.90 High
## 244 2900310 1316286 58113 417.30 Low
## 245 348104 64494 4684 1898.24 Low
## 246 55300 44266 13 7025.80 High
## 247 2729335 1920107 401993 14631.10 High
## 248 1959728 897741 44527 418.20 Low
## 249 56354 28900 12 7028.80 High
## 250 1870625 1504698 357316 14634.15 High
## 251 2498261 1423590 42875 415.62 Low
## 252 79345 30733 15 7067.90 High
## 253 1668616 1663742 382146 14496.50 High
## 254 2542462 1531953 46076 415.75 Low
## 255 77215 53237 19 7095.80 High
## 256 2180486 1541299 412431 14617.85 High
## 257 2513932 1311267 46197 419.07 Low
## 258 385861 89586 4370 1927.40 Low
## 259 81002 49746 9 7061.70 High
## 260 2672365 1923131 414188 14724.80 High
## 261 2501517 1179069 48438 422.12 Low
## 262 196152 109758 6050 1933.05 Low
## 263 73194 48969 13 7080.80 High
## 264 2586397 1826490 401078 14823.15 High
## 265 1600900 860562 32296 417.94 Low
## 266 353282 130677 4940 1952.27 Low
## 267 72886 36799 7 7172.80 High
## 268 2794050 1474606 329942 14942.35 High
## 269 2043112 1336765 35493 414.21 Low
## 270 337046 97038 6235 1905.92 Low
## 271 76379 35191 8 7097.00 High
## 272 2763725 1850110 348421 14850.75 High
## 273 2011122 1345602 36146 405.41 Low
## 274 388229 87073 7051 1877.95 Low
## 275 82284 61475 9 7044.90 High
## 276 2182934 1983804 362727 14696.50 High
## 277 2272440 1196163 38758 410.28 Low
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## 1065 4134489 677218 1938 17245.65 High
## 1066 779830 141401 49550 1981.56 Medium
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## 1069 84708 129628 47988 7406.20 High
## 1070 1997100 691425 1660 17153.00 High# load the library
library(caret)
# define training control
train_control <- trainControl(method="boot", number=100)
# train the model
model <- train(level~., data=df_q2_cor, trControl=train_control, method="nb")
# summarize results
print(model)## Naive Bayes
##
## 1070 samples
## 4 predictor
## 3 classes: 'High', 'Low', 'Medium'
##
## No pre-processing
## Resampling: Bootstrapped (100 reps)
## Summary of sample sizes: 1070, 1070, 1070, 1070, 1070, 1070, ...
## Resampling results across tuning parameters:
##
## usekernel Accuracy Kappa
## FALSE 0.6463600 0.4880295
## TRUE 0.8802895 0.7954775
##
## Tuning parameter 'fL' was held constant at a value of 0
## Tuning
## parameter 'adjust' was held constant at a value of 1
## Accuracy was used to select the optimal model using the largest value.
## The final values used for the model were fL = 0, usekernel = TRUE and adjust
## = 1.# define training control
train_control <- trainControl(method="repeatedcv", number=10, repeats=3)
# train the model
model_knn <- train(level~., data=df_q2_cor, trControl=train_control, method="knn")
#model_rpart <- train(level~., data=df_q2_cor, trControl=train_control, method="rpart")
model_pls <- train(level~., data=df_q2_cor, trControl=train_control, method="pls")
model_rda <- train(level~., data=df_q2_cor, trControl=train_control, method="rda")
# summarize results
print(model_knn)## k-Nearest Neighbors
##
## 1070 samples
## 4 predictor
## 3 classes: 'High', 'Low', 'Medium'
##
## No pre-processing
## Resampling: Cross-Validated (10 fold, repeated 3 times)
## Summary of sample sizes: 963, 963, 964, 963, 963, 964, ...
## Resampling results across tuning parameters:
##
## k Accuracy Kappa
## 5 0.8299289 0.6798677
## 7 0.8221256 0.6635222
## 9 0.8190161 0.6553402
##
## Accuracy was used to select the optimal model using the largest value.
## The final value used for the model was k = 5.par(mfrow=c(3,1))
boxplot(model_knn$results$Accuracy, ylab = "knn",xlab = "Accuracy", horizontal = TRUE)
#boxplot(model_rpart$results$Accuracy, ylab = "rpart",xlab = "Accuracy", horizontal = TRUE)
boxplot(model_pls$results$Accuracy, ylab = "pls",xlab = "Accuracy", horizontal = TRUE)
## redundancy analysis
boxplot(model_rda$results$Accuracy, ylab = "rda",xlab = "Accuracy", horizontal = TRUE)
model_rpart <- train(level~., data=df_q2_cor, trControl=train_control, method="rpart")
model_rpart## CART
##
## 1070 samples
## 4 predictor
## 3 classes: 'High', 'Low', 'Medium'
##
## No pre-processing
## Resampling: Cross-Validated (10 fold, repeated 3 times)
## Summary of sample sizes: 963, 962, 962, 963, 963, 963, ...
## Resampling results across tuning parameters:
##
## cp Accuracy Kappa
## 0.00000000 0.9981220 0.9965294
## 0.09560229 0.9671869 0.9372037
## 0.90439771 0.8196589 0.6372037
##
## Accuracy was used to select the optimal model using the largest value.
## The final value used for the model was cp = 0.boxplot(model_rpart$results$Accuracy, ylab = "rpart",xlab = "Accuracy", horizontal = TRUE)
# Partial Least Squares
model_pls <- train(level~., data=df_q2_cor, trControl=train_control, method="pls")
model_pls## Partial Least Squares
##
## 1070 samples
## 4 predictor
## 3 classes: 'High', 'Low', 'Medium'
##
## No pre-processing
## Resampling: Cross-Validated (10 fold, repeated 3 times)
## Summary of sample sizes: 963, 962, 964, 962, 963, 963, ...
## Resampling results across tuning parameters:
##
## ncomp Accuracy Kappa
## 1 0.4623063 -0.01860126
## 2 0.6781177 0.37145579
## 3 0.6691150 0.35066421
##
## Accuracy was used to select the optimal model using the largest value.
## The final value used for the model was ncomp = 2.boxplot(model_pls$results$Accuracy, ylab = "pls",xlab = "Accuracy", horizontal = TRUE)
model_rda <- train(level~., data=df_q2_cor, trControl=train_control, method="rda")
model_rda## Regularized Discriminant Analysis
##
## 1070 samples
## 4 predictor
## 3 classes: 'High', 'Low', 'Medium'
##
## No pre-processing
## Resampling: Cross-Validated (10 fold, repeated 3 times)
## Summary of sample sizes: 963, 963, 963, 963, 963, 963, ...
## Resampling results across tuning parameters:
##
## gamma lambda Accuracy Kappa
## 0.0 0.0 0.9115877 0.84639884
## 0.0 0.5 0.9308912 0.87569082
## 0.0 1.0 0.9523351 0.90887529
## 0.5 0.0 0.4748411 0.27024935
## 0.5 0.5 0.5651285 0.20670742
## 0.5 1.0 0.4866212 0.03408712
## 1.0 0.0 0.4863417 0.27361830
## 1.0 0.5 0.5647934 0.20077211
## 1.0 1.0 0.5469950 0.15445070
##
## Accuracy was used to select the optimal model using the largest value.
## The final values used for the model were gamma = 0 and lambda = 1.boxplot(model_rda$results$Accuracy, ylab = "pls",xlab = "Accuracy", horizontal = TRUE)
beta